From 4cc96829fad977aecf0018b26beb067cfd2689a5 Mon Sep 17 00:00:00 2001 From: Dugongue <49054532+Dugongue@users.noreply.github.com> Date: Thu, 22 Oct 2026 08:18:15 -0700 Subject: [PATCH] Construct complementary native suppliers and prove strict local moment improvement --- research/native-dual-suppliers/.gitattributes | 1 + .../BASE-ROUND3-WORD.json.gz | Bin 0 -> 207673 bytes .../native-dual-suppliers/CONTENT-HASHES.json | 55 + .../native-dual-suppliers/DUAL-PROVIDER.md | 92 + .../FREE-ENDPOINT-GAUGES.md | 41 + .../HETEROGENEOUS-CONTROLLER.md | 61 + ...INTERSECTION153-ROUND3-ACTUAL-PROFILE.json | 60 + ...INTERSECTION153-ROUND3-ACTUAL-WORD.json.gz | Bin 0 -> 191511 bytes ...INTERSECTION153-ROUND3-DISCOVERY-WORD.json | 1 + ...SECTION153-ROUND3-MAIN-NORMALIZERS.json.gz | Bin 0 -> 8897 bytes .../INTERSECTION153-ROUND3-MAIN-RECEIPT.json | 13 + .../INTERSECTION153-ROUND3-MIN-PROFILE.json | 25 + ...CTION153-ROUND3-PAID-HELPER-PHASES.json.gz | Bin 0 -> 107417 bytes ...INTERSECTION153-ROUND3-WARP-PHASES.json.gz | Bin 0 -> 7865 bytes research/native-dual-suppliers/LICENSE | 201 + .../native-dual-suppliers/QUOTIENT-ROUND3.md | 31 + .../QUOTIENT153-ROUND3-ACTUAL-PROFILE.json | 35 + .../QUOTIENT153-ROUND3-ACTUAL-WORD.json.gz | Bin 0 -> 194102 bytes .../QUOTIENT153-ROUND3-DISCOVERY-WORD.json | 1 + ...UOTIENT153-ROUND3-MAIN-NORMALIZERS.json.gz | Bin 0 -> 7856 bytes .../QUOTIENT153-ROUND3-MAIN-RECEIPT.json | 22 + .../QUOTIENT153-ROUND3-MIN-PROFILE.json | 25 + ...TIENT153-ROUND3-PAID-HELPER-PHASES.json.gz | Bin 0 -> 98394 bytes .../QUOTIENT153-ROUND3-WARP-PHASES.json.gz | Bin 0 -> 6636 bytes research/native-dual-suppliers/README.md | 60 + .../RELEASE-ROUND3-B.json | 87 + .../RELEASE-ROUND3-C.json | 87 + .../ROUND3-IMPROVEMENT.md | 44 + .../SOURCE-CLOSURE-QUOTIENT-ROUND3.json | 65 + .../SOURCE-CLOSURE-ROUND3.json | 64 + research/native-dual-suppliers/SOURCES.json | 18 + research/native-dual-suppliers/TASK.json | 80 + research/native-dual-suppliers/VERIFY.json | 75 + .../native-dual-suppliers/admit_newer_base.py | 187 + .../native-dual-suppliers/admit_newer_main.py | 157 + .../admit_newer_quotient.py | 187 + .../admit_newer_quotient_main.py | 147 + .../intersection_newer_base.py | 84 + .../quotient_newer_base.py | 85 + research/native-dual-suppliers/synthesis.py | 35 + .../fresh-helper-boundary/CHANGES.json | 562 ++ .../research/fresh-helper-boundary/native.py | 183 + .../research/joint-helper-lattice/PATCH.json | 8991 +++++++++++++++++ .../joint-helper-lattice/native_joint.py | 118 + .../buffer-borrowing/verify_buffers.py | 351 + .../complex/prune_native.py | 253 + ...THREE-base-FULL-IDENTITY-CANONICAL.json.gz | Bin 0 -> 82793 bytes .../THREE-base-FULL-IDENTITY-NATIVE.json.gz | Bin 0 -> 198063 bytes .../complex/native_extensions.py | 233 + .../complex/power_two_balance.py | 130 + .../kappa-rebuild/complex/rebuild_native.py | 453 + .../v/research/missing-join-frame/PATCH.json | 24 + 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The complete global address space has rank 1+7(p+2), so this extra coordinate exists. Main output identity on that coordinate is an actual typed-interface fact, not a reason to discard its helper action. The borrowed coordinate labels addresses; it is not borrowed storage and does not identify two independent helper fields. + +A C-provider whose complete admitted word lives in an eight-plane may use only central plus seven local coordinates; its ninth identity spectator remains explicit. Every whole-job normalizer is formed on its actual active coordinates. No block-eight diagonal credit is inferred from a helper-only padded spectator. + +## Local native allowance + +For the frozen source words, each orientation contains 17,453 scalar events, 240 native warp events, 448 inherited adapter markers and at most 3,195 paid Gaussian jobs. All scalar numerator/denominator magnitudes are at most 8. Allow two exact nine-axis monomial normalizers per paid child, the native warp monomials, all explicit main wrappers, the backward-convention corrections and both helper whole-job normalizers. Fewer than 9,000 nine-axis lifted monomial operations suffice per local call. This is a conservative count, not a practical runtime estimate. + +A lifted fixed nine-axis monomial is a binary 9×9 block map and a Z4 quadratic phase on nine f-bit blocks, with arbitrary identity spectators. Its address is formed with at most 81 block XORs and fixed shifts/masks. Compute each phase using at most 45 block parity/Hamming-weight-mod-4 functions; a parity chunk table on max(1,floor(f/16)) bits gives at most 31 chunks per f-bit block. Including the table setup, scatter/gather, phase multiplication, loop/index operations and fixed metadata, 10,000 V native operations per such map is a deliberately loose eventual bound. Tables are prepared by explicit recurrences and cost O(V), not an oracle. Thus fewer than 9e7 V operations cover these monomials; 64 operations per scalar event, the bank permutations and a further million-operation metadata reserve leave the nonrecursive LOCAL allowance below 10^8 V. Gaussian child work is charged separately in the paid profile. This bound concerns the local primitive, not the entire p-stage controller or its larger main whole-job normalizers. + +All statements hold at each digit-column width f by the retained exact free-group-algebra evaluation theorem and blockwise tensorization of address-operator identities. They do not tensor the field-level 2×2 matrices. The full native construction remains source-bound in its inherited Gaussian, compiler and analytic premises. This note establishes a sufficient heterogeneous-consumer and exact accounting framework; it does not assert an unobserved profitable provider/gauge schedule. + +Credit the actual B/C supplier constructions and source owners; DaysSky, Cinna Davis, Cao Yifan, the retained controller authors, Dugongue's native Word RAM and frame-interface work, zxv, Jacob Alan Sussman and all original notices. The useful new mechanism is per-call physical port transport together with an honest heterogeneous profile, rather than repricing a changed endpoint as the old common supplier. diff --git a/research/native-dual-suppliers/INTERSECTION153-ROUND3-ACTUAL-PROFILE.json b/research/native-dual-suppliers/INTERSECTION153-ROUND3-ACTUAL-PROFILE.json new file mode 100644 index 0000000000..d01460798f --- /dev/null +++ b/research/native-dual-suppliers/INTERSECTION153-ROUND3-ACTUAL-PROFILE.json @@ -0,0 +1,60 @@ +{ + "status": "PASS_H153_SHARED_MAPS_FORMAL_ENDPOINTS_ALL_WARP_PHASES", + "paid": { + "1": 2011, + "2": 445, + "3": 427, + "4": 112, + "5": 12, + "7": 8 + }, + "helpers": { + "8": 326, + "3": 26, + "7": 48, + "6": 6, + "4": 2 + }, + "local_deficit": 1680, + "new_warp_outputs": [ + { + "operator": 2, + "input": 189, + "old_output": 1087, + "new_output": 1943 + }, + { + "operator": 3, + "input": 192, + "old_output": 1087, + "new_output": 1943 + }, + { + "operator": 4, + "input": 192, + 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/research/native-dual-suppliers/QUOTIENT-ROUND3.md b/research/native-dual-suppliers/QUOTIENT-ROUND3.md new file mode 100644 index 0000000000..c032bd4613 --- /dev/null +++ b/research/native-dual-suppliers/QUOTIENT-ROUND3.md @@ -0,0 +1,31 @@ +# Round-three complementary quotient supplier + +Prepared for Dugongue with substantial OpenAI Codex assistance. Apache-2.0. + +Apply the kernel-153 quotient to Cao Yifan's complete round-three input word from PR #4610, pinned at 1eb8da6cfb35512c0cc2533413e5ca42f48e13c6. The input decompressed payload is cfcd36b40326d7a5815e1db5313444379b3fb756b27d5201c561574c085cc0dd. In nine-bit coordinates the quotient map sends x to x XOR 153 when its least significant bit is set, and otherwise fixes x. Its image is the eight-dimensional even-coordinate subspace. Apply this map to every frame and every start/final boundary, preserving every scalar opcode, coefficient, role and chronological order, and resynthesize all paid climbs. + +The shared-map construction in DUAL-PROVIDER.md applies with no output retimings. Each native generator has one primary subspace-pair constraint, optionally one compatible line-pair constraint, and the common eight-dimensional ambient image. Map adapted bases bijectively, extend to the common ambient image, and then extend to nine dimensions. The resulting 72 shared maps are invertible, preserve every declared frame pair, and admit exact zero-Fourier-rank physical warps including absolute phase. The finite formal free-group replay proves all-width logical identity for these changed shared operators, with arbitrary independent helper inputs. + +The complete profiles are + + P_B = {1:1956, 2:450, 3:403, 4:127, 5:28, 8:8}, + H_B = {3:2, 4:26, 6:7, 7:47, 8:326}. + +Their rank-mass difference is 1688. The actual main interface has 56 A ports and 56 B ports, with the same special-port partition as the round-three orthogonal restriction C supplier. Writing D for a rank-seven Gaussian and Q for a disjoint rank-one Gaussian, the forward interfaces are + + A = diag(D,D) S_y(Q^-1), + B = diag(D,QD) S_y(Q^-1). + +The constructive normalizers and block proof are the quotient A/B proof retained in DUAL-PROVIDER.md and its predecessors. The executable normalizer receipt checks all 112 pairs, 448 exact monomial wrappers, and 336 exact block identities including phase. All 2088 distinct paid, center, and helper frame pairs were independently lowered in both orientations with exact rank and absolute phase. The assertion-enabled complete main/paid replay passed in about 332 seconds. Inverse transpose gives the backward interface. No old rank-eight controller interface is asserted. + +With the retained 13 source-code files under an arbitrary source root, reproduce using: + +```sh +python -I -B quotient_newer_base.py --source-root /path/to/source +python -I -B admit_newer_quotient.py --source-root /path/to/source +python -I -B admit_newer_quotient_main.py --source-root /path/to/source +``` + +The resulting actual word payload is aac6822eeb412a8690791d0755d2a7d2ff4da3198260e199b75499c8d9924f39. Each source and intermediate artifact is guarded by SOURCE-CLOSURE-QUOTIENT-ROUND3.json. This is a sufficient actual typed local supplier construction; a complete enclosing controller and compiler invoice are still needed for a multiplication kappa claim. + +Credit Cao Yifan for the round-three helper/map word; Cinna Davis for the original native supplier; DaysSky for the quotient mechanism; Nick Petalas and Ryanson Jonathan for quotient/endpoint analysis; Dugongue for the physically repaired quotient and A/B normalizers; zxv and Jacob Alan Sussman for retained native/compiler foundations; and all original source notices. The new material is the constructive kernel-153 quotient and complete typed endpoint admission of the stronger round-three word. No worldwide priority or independent human acceptance is claimed. diff --git a/research/native-dual-suppliers/QUOTIENT153-ROUND3-ACTUAL-PROFILE.json b/research/native-dual-suppliers/QUOTIENT153-ROUND3-ACTUAL-PROFILE.json new file mode 100644 index 0000000000..0f04f7f690 --- /dev/null +++ b/research/native-dual-suppliers/QUOTIENT153-ROUND3-ACTUAL-PROFILE.json @@ -0,0 +1,35 @@ +{ + "status": "PASS_Q153_SHARED_MAPS_FORMAL_ENDPOINTS_ALL_WARP_PHASES", + "paid": { + "1": 1956, + "2": 450, + "3": 403, + "4": 127, + "5": 28, + "8": 8 + }, + "helpers": { + "8": 326, + "4": 26, + "7": 47, + "6": 7, + "3": 2 + }, + "local_deficit": 1688, + "new_warp_outputs": [], + "formal": { + "backward": { + "rows": 632, + "terms": 744, + "nonempty_words": 0 + }, + "forward": { + "rows": 632, + "terms": 744, + "nonempty_words": 0 + } + }, + "payload_sha256": "aac6822eeb412a8690791d0755d2a7d2ff4da3198260e199b75499c8d9924f39", + "warp_classes": 180, + "warp_phase_seconds": 8.98399999999674 +} \ No newline at end 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a/research/native-dual-suppliers/QUOTIENT153-ROUND3-MAIN-RECEIPT.json b/research/native-dual-suppliers/QUOTIENT153-ROUND3-MAIN-RECEIPT.json new file mode 100644 index 0000000000..be8c7aa90f --- /dev/null +++ b/research/native-dual-suppliers/QUOTIENT153-ROUND3-MAIN-RECEIPT.json @@ -0,0 +1,22 @@ +{ + "status": "PASS_Q153_EXACT_TYPED_MAINS_AND_ALL_PAID_HELPER_PHASES", + "port_types": { + "A": 56, + "B": 56 + }, + "ports": 112, + "exact_monomial_normalizers": 448, + "exact_block_identities": 336, + "absolute_phases": true, + "source_word_payload_sha256": "aac6822eeb412a8690791d0755d2a7d2ff4da3198260e199b75499c8d9924f39", + "normalizers_payload_sha256": "95692ce85d469e23b969074f5604b7a743ecb2a1b15e09559b1fff1676dfd115", + "seconds": 18.125, + "forward_type_A": "D S_y(Q^-1)", + "forward_type_B": "diag(D,QD) S_y(Q^-1)", + "D_rank": 7, + "Q_rank": 1, + "Q_squared": "monomial", + "scope": "Typed local supplier, not old rank-eight interface or a completed multiplication theorem", + 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Thus g(x) < g(2) = 0 for x < 2. At t = 1 the two paid rank masses coincide. The productive profile is identical, so the new complete local supplier strictly lowers the paid-minus-productive rank moment for every t in [0,1). + +The endpoint construction is a complete local supplier change. No multiplication kappa claim follows until its enclosing controller and native compiler invoice are supplied. + +The old supplier and all its checked receipts remain unchanged. Source ownership and credit remain with the PR #4610 and #4470 authors and their retained upstream contributors; these scripts add the orthogonal restriction, exact shared-map construction, and independent typed endpoint admission. + +Credit Cao Yifan for the round-three helper/map changes and complete input witness; Cinna Davis for the native supplier lineage; DaysSky for the quotient mechanism; Nick Petalas and Ryanson Jonathan for quotient/endpoint analysis; Dugongue for transported frames, arbitrary-frame rank, the repaired quotient and typed interfaces; zxv and Jacob Alan Sussman for retained native/compiler foundations; and all original source notices. + +## Reproduction and evidence + +The source-code closure in SOURCE-CLOSURE-ROUND3.json pins the 13 retained upstream interpreter and Clifford files. BASE-ROUND3-WORD.json.gz is the complete frozen input word; its decompressed payload is checked before derivation. With those source files installed under any chosen source root, run: + +```sh +python -I -B intersection_newer_base.py --source-root /path/to/source +python -I -B admit_newer_base.py --source-root /path/to/source +python -I -B admit_newer_main.py --source-root /path/to/source +``` + +The first command deterministically rebuilds the clipped frames and discovery word. The second constructs 72 shared native maps, emits the four paid output retimings, replays every independent input through both exact interpreters and both orientations, and checks 180 actual warp classes in both orientations including absolute phase. The third constructs 448 exact monomial wrappers and checks 336 block identities for all 112 ports, then lowers all 2048 distinct paid, center, and helper frame pairs in both orientations with exact rank and absolute phase. Every helper input remains arbitrary and independent. + +The resulting actual word has decompressed payload SHA-256 7f137c4b95db519d04ad2336ef1a146fbc953124e95940d10b572a63ab958c87. Both logical orientations have 632 final rows, 744 terms, and zero nonempty free-group words. Hence the universal free-group-algebra evaluation argument from DUAL-PROVIDER.md proves the scalar-word identity at every digit-column width for the newly constructed shared native operators. 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"cfcd36b40326d7a5815e1db5313444379b3fb756b27d5201c561574c085cc0dd", + "repaired_payload_sha256": "aac6822eeb412a8690791d0755d2a7d2ff4da3198260e199b75499c8d9924f39" +} diff --git a/research/native-dual-suppliers/SOURCE-CLOSURE-ROUND3.json b/research/native-dual-suppliers/SOURCE-CLOSURE-ROUND3.json new file mode 100644 index 0000000000..ebaf64203a --- /dev/null +++ b/research/native-dual-suppliers/SOURCE-CLOSURE-ROUND3.json @@ -0,0 +1,64 @@ +{ + "schema": "orthogonal-restriction-source-closure/1", + "source_commit": "f626db5c3a3d781d8f7695038776c621651f75e1", + "files": [ + { + "path": "research/joint-helper-lattice/native_joint.py", + "sha256": "50869b1bcad7493e6b4cb2a4cd5d2fd9a193a5921100483fa2c3f2c999ddfd46" + }, + { + "path": "research/joint-helper-lattice/PATCH.json", + "sha256": "296d0e8c58cc70febe042c681ef30d6bb469818c0835fbcaac8aa8d330f5b727" + }, + { + "path": "research/fresh-helper-boundary/native.py", + "sha256": 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a/research/native-dual-suppliers/TASK.json b/research/native-dual-suppliers/TASK.json new file mode 100644 index 0000000000..44c3483b10 --- /dev/null +++ b/research/native-dual-suppliers/TASK.json @@ -0,0 +1,80 @@ +{ + "schema_version": 1, + "task_id": "uniform-transfer-audit", + "priority_revision": 7, + "base_commit": "b58ad9ef4d4e861b0eaa5dba41742bdc072dca51", + "original_card": { + "id": "uniform-transfer-audit", + "question": "Does one quantified step of the proposed #4100 all-size construction hold at its actual caller?", + "starting_points": [ + "docs/research/research-family-status.md", + "certificates/selected-result.json", + "research/unconditional-batched-crt/README.md" + ], + "methods": [ + "Prove one missing implication with explicit quantified hypotheses.", + "Find an exact counterexample at the claimed interface boundary." + ], + "acceptance_gate": "Identify the proposition and what would change downstream; do not equate a finite replay with a universal proof.", + "first_step": { + "command": [ + "python3", + "-B", + "scripts/research_baseline.py" + ], + "expected": "PASS_RESEARCH_BASELINE_BINDINGS_ONLY", + "inspect": "Read PROOF.md and AUDIT.md in #4100. Select one distinct obligation: CRT total repair, native/free-algebra lifting, precision/conditioning, or complete fixed-tape cost. This is an author-submitted proof, not an accepted unconditional theorem.", + "scope": "Source-binding orientation only; no scientific replay, theorem acceptance or supplier admission. Budget any heavy replay separately." + }, + "first_experiment": "Check live handoffs; name one proposition, its caller, quantified domain and dependency closure. Independently prove the implication or exhibit a precise gap/counterexample. Prioritize CRT.md total repair or COMPLEX.md free-algebra lift only if unclaimed. Stop at the chosen obligation; do not substitute finite samples or root arithmetic for an all-size proof, or launch the complete package by default.", + "bottleneck_link": "Finite supplier improvements are useful only under the retained transfer obligations.", + "allowed_variations": [ + "One CRT repair, native lift, precision/conditioning or tape-cost proposition, with its exact caller." + ], + "scope_change_triggers": [ + "Replacing a quantified obligation with another finite smoke test.", + "Treating archive intake, an author PASS receipt or a finite composed fixture as discharge of the universal hypotheses." + ], + "overlap_terms": [ + "uniform transfer", + "all-size", + "precision", + "4100", + "unconditional-batched-crt" + ], + "existing_checks": [ + { + "scope": "PR #4100: proposed unconditional construction and finite checks, without independent acceptance.", + "evidence": "research/unconditional-batched-crt/README.md", + "remaining": "Independent proof audit of one caller-bound all-size implication; all other premises remain explicit.", + "status": "author-checked", + "source_commit": "337d04939571a637aeab54a0f58f54fde811663a", + "selected_record_sha256": "bb2eaa58647b353f88d0aec2eafb9d30df1be53589231b23e12ceef3e4bad129" + } + ] + }, + "scope_status": "changed", + "actual_scope": "Construct and check complementary native quotient/restriction suppliers from PR4610 round-three, including all-f typed interfaces and a strict local moment improvement.", + "scope_change_reason": "User assigned superior native kappa. Complete controller searches did not yield one; publish only the sufficient local constructions actually established.", + "bottleneck_link": "A complete source-compatible controller must consume the actual typed ports before a local moment can improve the multiplication bound.", + "budget_minutes": 60, + "stop_rule": "One session, bounded independent controller and geometry routes, then fresh exact local replay and hash-verified handoff; no numerical exponent without complete admission.", + "outcome": "completed", + "evidence": "DUAL-PROVIDER.md, ROUND3-IMPROVEMENT.md, QUOTIENT-ROUND3.md and verify.py give constructive sufficient local theorems and exact source-bound checks.", + "author": "Dugongue", + "ai_assistance": "Prepared for Dugongue with substantial OpenAI Codex assistance; one coordinating worker and three parallel workers.", + "open_questions": [ + { + "question": "Can the complementary B/C interfaces support a profitable complete controller?", + "why_it_matters": "Would turn the improved local constructions into a larger native exponent.", + "first_step": "Use the actual shared special-port mask, stagewise provider/permutation choices, and every boundary/query/retag charge.", + "blocked_by": "No profitable complete invoice was found in this bounded session." + }, + { + "question": "Can a different word remove enough owned center work?", + "why_it_matters": "Centers remain paid in both complete local profiles.", + "first_step": "Change the actual scalar word and recheck all independent input rows and phases.", + "blocked_by": "No source-compatible center removal established here." + } + ] +} diff --git a/research/native-dual-suppliers/VERIFY.json b/research/native-dual-suppliers/VERIFY.json new file mode 100644 index 0000000000..ef5ff1572b --- /dev/null +++ b/research/native-dual-suppliers/VERIFY.json @@ -0,0 +1,75 @@ +{ + "schema_version": 1, + "status": "ready", + "python": "3.12", + "requirements": [], + "inputs": [ + "research/native-dual-suppliers/.gitattributes", + "research/native-dual-suppliers/admit_newer_base.py", + "research/native-dual-suppliers/admit_newer_main.py", + "research/native-dual-suppliers/admit_newer_quotient.py", + "research/native-dual-suppliers/admit_newer_quotient_main.py", + "research/native-dual-suppliers/BASE-ROUND3-WORD.json.gz", + "research/native-dual-suppliers/DUAL-PROVIDER.md", + "research/native-dual-suppliers/FREE-ENDPOINT-GAUGES.md", + "research/native-dual-suppliers/HETEROGENEOUS-CONTROLLER.md", + "research/native-dual-suppliers/INTERSECTION153-ROUND3-ACTUAL-PROFILE.json", + "research/native-dual-suppliers/INTERSECTION153-ROUND3-ACTUAL-WORD.json.gz", + "research/native-dual-suppliers/INTERSECTION153-ROUND3-DISCOVERY-WORD.json", + "research/native-dual-suppliers/INTERSECTION153-ROUND3-MAIN-NORMALIZERS.json.gz", + "research/native-dual-suppliers/INTERSECTION153-ROUND3-MAIN-RECEIPT.json", + "research/native-dual-suppliers/INTERSECTION153-ROUND3-MIN-PROFILE.json", + "research/native-dual-suppliers/INTERSECTION153-ROUND3-PAID-HELPER-PHASES.json.gz", + "research/native-dual-suppliers/INTERSECTION153-ROUND3-WARP-PHASES.json.gz", + "research/native-dual-suppliers/intersection_newer_base.py", + "research/native-dual-suppliers/LICENSE", + "research/native-dual-suppliers/QUOTIENT-ROUND3.md", + "research/native-dual-suppliers/QUOTIENT153-ROUND3-ACTUAL-PROFILE.json", + "research/native-dual-suppliers/QUOTIENT153-ROUND3-ACTUAL-WORD.json.gz", + "research/native-dual-suppliers/QUOTIENT153-ROUND3-DISCOVERY-WORD.json", + "research/native-dual-suppliers/QUOTIENT153-ROUND3-MAIN-NORMALIZERS.json.gz", + "research/native-dual-suppliers/QUOTIENT153-ROUND3-MAIN-RECEIPT.json", + "research/native-dual-suppliers/QUOTIENT153-ROUND3-MIN-PROFILE.json", + "research/native-dual-suppliers/QUOTIENT153-ROUND3-PAID-HELPER-PHASES.json.gz", + "research/native-dual-suppliers/QUOTIENT153-ROUND3-WARP-PHASES.json.gz", + "research/native-dual-suppliers/quotient_newer_base.py", + "research/native-dual-suppliers/README.md", + "research/native-dual-suppliers/RELEASE-ROUND3-B.json", + "research/native-dual-suppliers/RELEASE-ROUND3-C.json", + "research/native-dual-suppliers/ROUND3-IMPROVEMENT.md", + "research/native-dual-suppliers/SOURCE-CLOSURE-QUOTIENT-ROUND3.json", + "research/native-dual-suppliers/SOURCE-CLOSURE-ROUND3.json", + "research/native-dual-suppliers/SOURCES.json", + "research/native-dual-suppliers/synthesis.py", + "research/native-dual-suppliers/TASK.json", + "research/native-dual-suppliers/v/research/fresh-helper-boundary/CHANGES.json", + "research/native-dual-suppliers/v/research/fresh-helper-boundary/native.py", + "research/native-dual-suppliers/v/research/joint-helper-lattice/native_joint.py", + "research/native-dual-suppliers/v/research/joint-helper-lattice/PATCH.json", + "research/native-dual-suppliers/v/research/kappa-causal-continuation/buffer-borrowing/verify_buffers.py", + "research/native-dual-suppliers/v/research/kappa-function-composition/complex/prune_native.py", + "research/native-dual-suppliers/v/research/kappa-rebuild/complex/full-identity-certificates/THREE-base-FULL-IDENTITY-CANONICAL.json.gz", + "research/native-dual-suppliers/v/research/kappa-rebuild/complex/full-identity-certificates/THREE-base-FULL-IDENTITY-NATIVE.json.gz", + "research/native-dual-suppliers/v/research/kappa-rebuild/complex/native_extensions.py", + "research/native-dual-suppliers/v/research/kappa-rebuild/complex/power_two_balance.py", + "research/native-dual-suppliers/v/research/kappa-rebuild/complex/rebuild_native.py", + "research/native-dual-suppliers/v/research/missing-join-frame/PATCH.json", + "research/native-dual-suppliers/v/research/t74-native-fast/vendor/native/new/code/borrow/vendor/clifford/clifford_exact.py", + "research/native-dual-suppliers/VERIFY.json", + "research/native-dual-suppliers/verify.py", + "research/native-dual-suppliers/CONTENT-HASHES.json" + ], + "commands": [ + { + "argv": [ + "{python}", + "-I", + "-O", + "-B", + "{package}/verify.py" + ], + "timeout_seconds": 600, + "checks": "Authenticate all bytes and independently regenerate both actual suppliers in separate temporary copies; exact formal endpoints, ranks and phases; reject source drift. No improved multiplication exponent." + } + ] +} diff --git a/research/native-dual-suppliers/admit_newer_base.py b/research/native-dual-suppliers/admit_newer_base.py new file mode 100644 index 0000000000..19ec9697be --- /dev/null +++ b/research/native-dual-suppliers/admit_newer_base.py @@ -0,0 +1,187 @@ +"""Portable exact orthogonal-restriction builder. Apache-2.0; AI assistance.""" +from pathlib import Path +from collections import Counter, defaultdict +from copy import deepcopy +import json, sys, ast, gzip, time, hashlib +import argparse, hashlib +_parser = argparse.ArgumentParser() +_parser.add_argument('--source-root', required=True, type=Path) +_args = _parser.parse_args() +H = Path(__file__).resolve().parent +R = _args.source_root.resolve() +_manifest = json.loads((H / 'SOURCE-CLOSURE-ROUND3.json').read_text(encoding='utf-8')) +for _row in _manifest['files']: + if not hashlib.sha256((R / _row['path']).read_bytes()).hexdigest() == _row['sha256']: + raise ValueError('Changed source: ' + _row['path']) +for _name, _hash in _manifest['owned_modules'].items(): + if not hashlib.sha256((H / _name).read_bytes()).hexdigest() == _hash: + raise ValueError('Changed owned module: ' + _name) +sys.path.insert(0, str(H)) +from synthesis import synthesize as _resynthesize +sys.path.insert(0, str(R / 'research/joint-helper-lattice')) +import native_joint as J +F = J.F +ce = F.load(R / 'research/t74-native-fast/vendor/native/new/code/borrow/vendor/clifford/clifford_exact.py', 'h153ce') +P = F.load(R / 'research/kappa-function-composition/complex/prune_native.py', 'h153decode') +X = F.load(R / 'research/kappa-rebuild/complex/native_extensions.py', 'h153lower') +V = F.load(R / 'research/kappa-causal-continuation/buffer-borrowing/verify_buffers.py', 'h153rows') +_discovery = (H / 'INTERSECTION153-ROUND3-DISCOVERY-WORD.json').read_bytes() +if not hashlib.sha256(_discovery).hexdigest() == _manifest['discovery_sha256']: + raise ValueError('Exact check failed at original source line 21') +z = json.loads(_discovery) +c = z['canonical'] +pp = z['programs'] +S = [F.span(b) for b in c['frames']] +pairs = defaultdict(set) + +def basis(s): + b = [] + cur = {0} + for v in sorted(s): + if v not in cur: + b.append(v) + cur |= {x ^ v for x in tuple(cur)} + return b + +def extend(b, s): + for x in s: + if ce.rank(b + [x]) > len(b): + b.append(x) + return b +for e in pp['forward']: + if e[0] == 'warp': + op, a, b = e[2:5] + if op < 0: + a, b = (b, a) + pairs[abs(op)].add((a, b)) +Gs = {} +newoutputs = {} +paid_retimings = [] +allspace = set(range(512)) +hh = next((s for s in S if len(s) == 256)) +for op, ps in sorted(pairs.items()): + small = sorted([(a, b) for a, b in ps if len(S[a]) < 256 or len(S[b]) < 256], key=lambda ab: len(S[ab[0]])) + line = None + if small and len(S[small[0][0]]) == len(S[small[0][1]]) == 2: + line = small.pop(0) + small = [(a, b) for a, b in small if len(S[a]) > 1 or len(S[b]) > 1] + if not len(small) == 1: + raise ValueError((op, small)) + a, b = small[0] + A, B = (S[a], S[b]) + da, db = (len(c['frames'][a]), len(c['frames'][b])) + if not da <= db: + raise ValueError('Exact check failed at original source line 43') + if da < db: + if not (line is None and (db == da + 1)): + raise ValueError(('retime',op,da,db,line)) + bb = basis(B)[:da] + B = F.span(bb) + labels = {s: i for i, s in enumerate(S)} + if B not in labels: + labels[B] = len(S) + S.append(B) + c['frames'].append(bb) + newoutputs[op, a, b] = labels[B] + paid_retimings.append(dict(operator=op, input=a, old_output=b, new_output=labels[B])) + if line: + av = next(iter(S[line[0]] - {0})) + bv = next(iter(S[line[1]] - {0})) + inside = av in A + if not inside == (bv in B): + raise ValueError((op, line, a, b)) + ib = [av] if inside else [] + ob = [bv] if inside else [] + extend(ib, basis(A)) + extend(ob, basis(B)) + if not inside: + ib.append(av) + ob.append(bv) + else: + ib = basis(A) + ob = basis(B) + if not len(ib) == len(ob): + raise ValueError('Exact check failed at original source line 56') + extend(ib, basis(hh)) + extend(ob, basis(hh)) + if not len(ib) == len(ob) == 8: + raise ValueError('Exact check failed at original source line 56') + extend(ib, [1 << i for i in range(9)]) + extend(ob, [1 << i for i in range(9)]) + if not len(ib) == len(ob) == 9: + raise ValueError('Exact check failed at original source line 57') + image = {0: 0} + for av, bv in zip(ib, ob): + image.update({x ^ av: y ^ bv for x, y in tuple(image.items())}) + if not len(image) == len(set(image.values())) == 512: + raise ValueError('Exact check failed at original source line 60') + for aa, bb in ps: + target = S[newoutputs[op, aa, bb]] if (op, aa, bb) in newoutputs else S[bb] + if not frozenset((image[x] for x in S[aa])) == target: + raise ValueError((op, aa, bb)) + Gs[op] = [image[1 << i] for i in range(9)] +for w in c['warps']: + w['G_columns'] = Gs[w['op']] +for d, p in pp.items(): + for e in p: + if e[0] == 'warp' and (e[2], e[3], e[4]) in newoutputs: + e[4] = newoutputs[e[2], e[3], e[4]] +pp = {d: _resynthesize(F, c, p) for d, p in pp.items()} +profiles = {} +formal = {} +for d, p in pp.items(): + rows, rec = X.literal_replay(V, c, p, d == 'backward') + if not all((rows['L', r] == V.expected(('L', r), [], d == 'backward', False) for r in range(632))): + raise ValueError('Exact check failed at original source line 71') + profile = {int(k): v for k, v in rec['paid_profile'].items()} + profiles[d] = profile + reb = deepcopy(c) + reb['R'] = 408 + reb['local_profile'] = profile + V.replay(p, reb, [], d == 'backward', False) + formal[d] = dict(rows=632, terms=sum((len(rows['L', r]) for r in range(632))), nonempty_words=sum((bool(w) for r in range(632) for v, w in rows['L', r]))) +if not profiles['forward'] == profiles['backward']: + raise ValueError('Exact check failed at original source line 72') +HH = Counter((len(c['frames'][b]) - len(c['frames'][a]) for a, b in zip(c['start'][224:], c['final'][224:]))) +paid = profiles['forward'] +mass = lambda a: sum((k * n for k, n in a.items())) +data = (json.dumps(dict(canonical=c, programs=pp), sort_keys=True, separators=(',', ':')) + '\n').encode() +(H / 'INTERSECTION153-ROUND3-ACTUAL-WORD.json.gz').write_bytes(gzip.compress(data, mtime=0)) +out = dict(status='PASS_H153_SHARED_MAPS_FORMAL_ENDPOINTS_PHASE_PENDING', paid=paid, helpers=dict(HH), local_deficit=mass(paid) - mass(HH), new_warp_outputs=paid_retimings, formal=formal, payload_sha256=hashlib.sha256(data).hexdigest()) +(H / 'INTERSECTION153-ROUND3-ACTUAL-PROFILE.json').write_text(json.dumps(out, indent=2)) +print(json.dumps(out, indent=2), flush=True) +fc = {} +KK = {} + +def frame(i): + if i not in fc: + fc[i] = ce.canonical_frame(9, c['frames'][i]) + return fc[i] +for op, cols in Gs.items(): + G = ce.transpose(tuple(cols), 9) + gi = ce.inv(G, 9) + tr = ce.transpose(gi, 9) + Q = tuple((1 << i ^ sum((ce.parity(a & b) << j for j, b in enumerate(tr))) for i, a in enumerate(tr))) + KK[op] = ce.perm(9, G).then(ce.diag(9, Q)) +classes = sorted({tuple(e[2:5]) for e in pp['forward'] if e[0] == 'warp'}) +phase = [] +st = time.monotonic() +for i, (op, a, b) in enumerate(classes): + body = KK[abs(op)] if op > 0 else KK[abs(op)].adjoint() + physical = frame(a).adjoint().then(body).then(frame(b)) + directions = {} + for d in ('forward', 'backward'): + actual = P.conjugate(ce, physical) if d == 'backward' else physical + rec = X.N.lower_exact(P, ce, actual) + if not rec['rank'] == 0: + raise ValueError('Exact check failed at original source line 84') + directions[d] = rec + phase.append(dict(operator=op, input=a, output=b, recipes=directions)) + if i % 30 == 0: + print('WARP_PHASE', i + 1, '/', len(classes), flush=True) +out['status'] = 'PASS_H153_SHARED_MAPS_FORMAL_ENDPOINTS_ALL_WARP_PHASES' +out['warp_classes'] = len(classes) +out['warp_phase_seconds'] = time.monotonic() - st +(H / 'INTERSECTION153-ROUND3-ACTUAL-PROFILE.json').write_text(json.dumps(out, indent=2)) +(H / 'INTERSECTION153-ROUND3-WARP-PHASES.json.gz').write_bytes(gzip.compress(json.dumps(phase, sort_keys=True).encode(), mtime=0)) +print(out['status'], flush=True) diff --git a/research/native-dual-suppliers/admit_newer_main.py b/research/native-dual-suppliers/admit_newer_main.py new file mode 100644 index 0000000000..a68c2759ac --- /dev/null +++ b/research/native-dual-suppliers/admit_newer_main.py @@ -0,0 +1,157 @@ +"""Portable exact orthogonal-restriction builder. Apache-2.0; AI assistance.""" +from pathlib import Path +from collections import Counter +import json, gzip, sys, time, hashlib +import argparse, hashlib +_parser = argparse.ArgumentParser() +_parser.add_argument('--source-root', required=True, type=Path) +_parser.add_argument('--mains-only', action='store_true') +_args = _parser.parse_args() +H = Path(__file__).resolve().parent +R = _args.source_root.resolve() +_manifest = json.loads((H / 'SOURCE-CLOSURE-ROUND3.json').read_text(encoding='utf-8')) +for _row in _manifest['files']: + if not hashlib.sha256((R / _row['path']).read_bytes()).hexdigest() == _row['sha256']: + raise ValueError('Changed source: ' + _row['path']) +for _name, _hash in _manifest['owned_modules'].items(): + if not hashlib.sha256((H / _name).read_bytes()).hexdigest() == _hash: + raise ValueError('Changed owned module: ' + _name) +sys.path.insert(0, str(H)) +from synthesis import synthesize as _resynthesize +sys.path.insert(0, str(R / 'research/joint-helper-lattice')) +import native_joint as J +F = J.F +ce = F.load(R / 'research/t74-native-fast/vendor/native/new/code/borrow/vendor/clifford/clifford_exact.py', 'h153nf_ce') +P = F.load(R / 'research/kappa-function-composition/complex/prune_native.py', 'h153nf_decode') +X = F.load(R / 'research/kappa-rebuild/complex/native_extensions.py', 'h153nf_lower') +_actual = gzip.decompress((H / 'INTERSECTION153-ROUND3-ACTUAL-WORD.json.gz').read_bytes()) +if not hashlib.sha256(_actual).hexdigest() == _manifest['actual_payload_sha256']: + raise ValueError('Exact check failed at original source line 20') +z = json.loads(_actual) +c = z['canonical'] +fc = {} + +def frame(i): + if i not in fc: + fc[i] = ce.canonical_frame(9, c['frames'][i]) + return fc[i] + +def sp(b): + s = {0} + for v in b: + s |= {x ^ v for x in tuple(s)} + return s + +def basis(s): + b = [] + cur = {0} + for v in sorted(s): + if v not in cur: + b.append(v) + cur |= {x ^ v for x in tuple(cur)} + return b + +def extend(b, ss): + for v in ss: + if ce.rank(b + [v]) > len(b): + b.append(v) + return b + +def Kop(cols): + G = ce.transpose(tuple(cols), 9) + gi = ce.inv(G, 9) + tr = ce.transpose(gi, 9) + quad = tuple((1 << i ^ sum((ce.parity(a & b) << j for j, b in enumerate(tr))) for i, a in enumerate(tr))) + return ce.perm(9, G).then(ce.diag(9, quad)) + +def equal(a, b): + return a.tab == b.tab and a.zero_state() == b.zero_state() +D = ce.fourier(9, range(1, 8)) +Q = ce.cgate(9, 1) +out = [] +kinds = Counter() +st = time.monotonic() +for port in range(112): + sx, sy = (c['start'][port], c['start'][112 + port]) + hx, ay = (c['final'][port], c['final'][112 + port]) + HH, AA = (sp(c['frames'][hx]), sp(c['frames'][ay])) + if not (len(HH) == 256 and len(AA) == 128 and (AA < HH) and (not c['frames'][sy])): + raise ValueError('Exact check failed at original source line 42') + if len(c['frames'][sx]) == 1: + kind = 'A' + cv = c['frames'][sx][0] + if not (cv not in AA and cv in HH): + raise ValueError('Exact check failed at original source line 44') + cols = [cv] + basis(AA) + TY = D + TX = D + else: + kind = 'C' + if not not c['frames'][sx]: + raise ValueError('Exact check failed at original source line 46') + cv = next((v for v in sorted(HH) if v not in AA)) + cols = [cv] + basis(AA) + TY = D + TX = D.then(Q) + cols = extend(cols, [1 << i for i in range(9)]) + MY = Kop(cols) + CA, CH = (frame(ay), frame(hx)) + if kind == 'A': + Cc = frame(sx) + MX = Q.adjoint().then(MY).then(Cc) + AX = Cc.adjoint().then(CH) + BX = Cc.adjoint().then(CA) + OX = CH.adjoint().then(MY.adjoint()).then(Q).then(D) + expected_B = Q.adjoint().then(D) + else: + MX = MY + AX = CH + BX = CA + OX = CH.adjoint().then(MY.adjoint()).then(TX) + expected_B = D + OY = CA.adjoint().then(MY.adjoint()).then(D) + wrappers = {} + for name, op in [('input_X', MX), ('input_Y', MY), ('output_X', OX), ('output_Y', OY)]: + rec = X.N.lower_exact(P, ce, op) + if not rec['rank'] == 0: + raise ValueError('Exact check failed at original source line 54') + wrappers[name] = rec + if not equal(MX.then(AX).then(OX), TX): + raise ValueError('Exact check failed at original source line 55') + if not equal(MY.then(CA).then(OY), TY): + raise ValueError('Exact check failed at original source line 55') + if not equal(MX.then(BX).then(OY), expected_B): + raise ValueError('Exact check failed at original source line 55') + kinds[kind] += 1 + out.append(dict(port=port, kind=kind, chosen_central_vector=cv, input_X=sx, input_Y=sy, final_X=hx, final_Y=ay, wrappers=wrappers)) + if port % 16 == 0: + print('MAIN', port, '/', 112, flush=True) +(H / 'INTERSECTION153-ROUND3-MAIN-NORMALIZERS.json.gz').write_bytes(gzip.compress(json.dumps(out, sort_keys=True).encode(), mtime=0)) +receipt = dict(status='PASS_H153_EXACT_TYPED_MAINS', ports=112, types=dict(kinds), monomial_normalizers=448, exact_block_identities=336, seconds=time.monotonic() - st) +(H / ('INTERSECTION153-ROUND3-MAIN-RECEIPT-PORTABLE.json' if _args.mains_only else 'INTERSECTION153-ROUND3-MAIN-RECEIPT.json')).write_text(json.dumps(receipt, indent=2)) +print(json.dumps(receipt), flush=True) +if _args.mains_only: + sys.exit(0) +pairs = {(e[3], e[4], e[5]) for p in z['programs'].values() for e in p if e[0] == 'climb'} +pairs |= {(e[2], e[3], e[4]) for p in z['programs'].values() for e in p if e[0] == 'center'} +pairs |= {(a, b, len(c['frames'][b]) - len(c['frames'][a])) for a, b in zip(c['start'][224:], c['final'][224:])} +pp = [] +st2 = time.monotonic() +for i, (a, b, r) in enumerate(sorted(pairs)): + physical = frame(a).adjoint().then(frame(b)) + ds = {} + for d in ('forward', 'backward'): + actual = P.conjugate(ce, physical) if d == 'backward' else physical + rec = X.N.lower_exact(P, ce, actual) + if not rec['rank'] == r: + raise ValueError('Exact check failed at original source line 64') + ds[d] = rec + pp.append(dict(input=a, output=b, rank=r, recipes=ds)) + if i % 100 == 0: + print('PAID_HELPER', i + 1, '/', len(pairs), flush=True) +(H / 'INTERSECTION153-ROUND3-PAID-HELPER-PHASES.json.gz').write_bytes(gzip.compress(json.dumps(pp, sort_keys=True).encode(), mtime=0)) +receipt['status'] = 'PASS_H153_EXACT_TYPED_MAINS_AND_ALL_PAID_HELPER_PHASES' +receipt['paid_center_helper_pairs'] = len(pairs) +receipt['paid_helper_seconds'] = time.monotonic() - st2 +(H / ('INTERSECTION153-ROUND3-MAIN-RECEIPT-PORTABLE.json' if _args.mains_only else 'INTERSECTION153-ROUND3-MAIN-RECEIPT.json')).write_text(json.dumps(receipt, indent=2)) +print(json.dumps(receipt), flush=True) diff --git a/research/native-dual-suppliers/admit_newer_quotient.py b/research/native-dual-suppliers/admit_newer_quotient.py new file mode 100644 index 0000000000..598885ef78 --- /dev/null +++ b/research/native-dual-suppliers/admit_newer_quotient.py @@ -0,0 +1,187 @@ +"""Portable exact orthogonal-restriction builder. Apache-2.0; AI assistance.""" +from pathlib import Path +from collections import Counter, defaultdict +from copy import deepcopy +import json, sys, ast, gzip, time, hashlib +import argparse, hashlib +_parser = argparse.ArgumentParser() +_parser.add_argument('--source-root', required=True, type=Path) +_args = _parser.parse_args() +H = Path(__file__).resolve().parent +R = _args.source_root.resolve() +_manifest = json.loads((H / 'SOURCE-CLOSURE-QUOTIENT-ROUND3.json').read_text(encoding='utf-8')) +for _row in _manifest['files']: + if not hashlib.sha256((R / _row['path']).read_bytes()).hexdigest() == _row['sha256']: + raise ValueError('Changed source: ' + _row['path']) +for _name, _hash in _manifest['owned_modules'].items(): + if not hashlib.sha256((H / _name).read_bytes()).hexdigest() == _hash: + raise ValueError('Changed owned module: ' + _name) +sys.path.insert(0, str(H)) +from synthesis import synthesize as _resynthesize +sys.path.insert(0, str(R / 'research/joint-helper-lattice')) +import native_joint as J +F = J.F +ce = F.load(R / 'research/t74-native-fast/vendor/native/new/code/borrow/vendor/clifford/clifford_exact.py', 'h153ce') +P = F.load(R / 'research/kappa-function-composition/complex/prune_native.py', 'h153decode') +X = F.load(R / 'research/kappa-rebuild/complex/native_extensions.py', 'h153lower') +V = F.load(R / 'research/kappa-causal-continuation/buffer-borrowing/verify_buffers.py', 'h153rows') +_discovery = (H / 'QUOTIENT153-ROUND3-DISCOVERY-WORD.json').read_bytes() +if not hashlib.sha256(_discovery).hexdigest() == _manifest['discovery_sha256']: + raise ValueError('Exact check failed at original source line 21') +z = json.loads(_discovery) +c = z['canonical'] +pp = z['programs'] +S = [F.span(b) for b in c['frames']] +pairs = defaultdict(set) + +def basis(s): + b = [] + cur = {0} + for v in sorted(s): + if v not in cur: + b.append(v) + cur |= {x ^ v for x in tuple(cur)} + return b + +def extend(b, s): + for x in s: + if ce.rank(b + [x]) > len(b): + b.append(x) + return b +for e in pp['forward']: + if e[0] == 'warp': + op, a, b = e[2:5] + if op < 0: + a, b = (b, a) + pairs[abs(op)].add((a, b)) +Gs = {} +newoutputs = {} +paid_retimings = [] +allspace = set(range(512)) +hh = next((s for s in S if len(s) == 256)) +for op, ps in sorted(pairs.items()): + small = sorted([(a, b) for a, b in ps if len(S[a]) < 256 or len(S[b]) < 256], key=lambda ab: len(S[ab[0]])) + line = None + if small and len(S[small[0][0]]) == len(S[small[0][1]]) == 2: + line = small.pop(0) + small = [(a, b) for a, b in small if len(S[a]) > 1 or len(S[b]) > 1] + if not len(small) == 1: + raise ValueError((op, small)) + a, b = small[0] + A, B = (S[a], S[b]) + da, db = (len(c['frames'][a]), len(c['frames'][b])) + if not da <= db: + raise ValueError('Exact check failed at original source line 43') + if da < db: + if not (line is None and (db == da + 1)): + raise ValueError(('retime',op,da,db,line)) + bb = basis(B)[:da] + B = F.span(bb) + labels = {s: i for i, s in enumerate(S)} + if B not in labels: + labels[B] = len(S) + S.append(B) + c['frames'].append(bb) + newoutputs[op, a, b] = labels[B] + paid_retimings.append(dict(operator=op, input=a, old_output=b, new_output=labels[B])) + if line: + av = next(iter(S[line[0]] - {0})) + bv = next(iter(S[line[1]] - {0})) + inside = av in A + if not inside == (bv in B): + raise ValueError((op, line, a, b)) + ib = [av] if inside else [] + ob = [bv] if inside else [] + extend(ib, basis(A)) + extend(ob, basis(B)) + if not inside: + ib.append(av) + ob.append(bv) + else: + ib = basis(A) + ob = basis(B) + if not len(ib) == len(ob): + raise ValueError('Exact check failed at original source line 56') + extend(ib, basis(hh)) + extend(ob, basis(hh)) + if not len(ib) == len(ob) == 8: + raise ValueError('Exact check failed at original source line 56') + extend(ib, [1 << i for i in range(9)]) + extend(ob, [1 << i for i in range(9)]) + if not len(ib) == len(ob) == 9: + raise ValueError('Exact check failed at original source line 57') + image = {0: 0} + for av, bv in zip(ib, ob): + image.update({x ^ av: y ^ bv for x, y in tuple(image.items())}) + if not len(image) == len(set(image.values())) == 512: + raise ValueError('Exact check failed at original source line 60') + for aa, bb in ps: + target = S[newoutputs[op, aa, bb]] if (op, aa, bb) in newoutputs else S[bb] + if not frozenset((image[x] for x in S[aa])) == target: + raise ValueError((op, aa, bb)) + Gs[op] = [image[1 << i] for i in range(9)] +for w in c['warps']: + w['G_columns'] = Gs[w['op']] +for d, p in pp.items(): + for e in p: + if e[0] == 'warp' and (e[2], e[3], e[4]) in newoutputs: + e[4] = newoutputs[e[2], e[3], e[4]] +pp = {d: _resynthesize(F, c, p) for d, p in pp.items()} +profiles = {} +formal = {} +for d, p in pp.items(): + rows, rec = X.literal_replay(V, c, p, d == 'backward') + if not all((rows['L', r] == V.expected(('L', r), [], d == 'backward', False) for r in range(632))): + raise ValueError('Exact check failed at original source line 71') + profile = {int(k): v for k, v in rec['paid_profile'].items()} + profiles[d] = profile + reb = deepcopy(c) + reb['R'] = 408 + reb['local_profile'] = profile + V.replay(p, reb, [], d == 'backward', False) + formal[d] = dict(rows=632, terms=sum((len(rows['L', r]) for r in range(632))), nonempty_words=sum((bool(w) for r in range(632) for v, w in rows['L', r]))) +if not profiles['forward'] == profiles['backward']: + raise ValueError('Exact check failed at original source line 72') +HH = Counter((len(c['frames'][b]) - len(c['frames'][a]) for a, b in zip(c['start'][224:], c['final'][224:]))) +paid = profiles['forward'] +mass = lambda a: sum((k * n for k, n in a.items())) +data = (json.dumps(dict(canonical=c, programs=pp), sort_keys=True, separators=(',', ':')) + '\n').encode() +(H / 'QUOTIENT153-ROUND3-ACTUAL-WORD.json.gz').write_bytes(gzip.compress(data, mtime=0)) +out = dict(status='PASS_Q153_SHARED_MAPS_FORMAL_ENDPOINTS_PHASE_PENDING', paid=paid, helpers=dict(HH), local_deficit=mass(paid) - mass(HH), new_warp_outputs=paid_retimings, formal=formal, payload_sha256=hashlib.sha256(data).hexdigest()) +(H / 'QUOTIENT153-ROUND3-ACTUAL-PROFILE.json').write_text(json.dumps(out, indent=2)) +print(json.dumps(out, indent=2), flush=True) +fc = {} +KK = {} + +def frame(i): + if i not in fc: + fc[i] = ce.canonical_frame(9, c['frames'][i]) + return fc[i] +for op, cols in Gs.items(): + G = ce.transpose(tuple(cols), 9) + gi = ce.inv(G, 9) + tr = ce.transpose(gi, 9) + Q = tuple((1 << i ^ sum((ce.parity(a & b) << j for j, b in enumerate(tr))) for i, a in enumerate(tr))) + KK[op] = ce.perm(9, G).then(ce.diag(9, Q)) +classes = sorted({tuple(e[2:5]) for e in pp['forward'] if e[0] == 'warp'}) +phase = [] +st = time.monotonic() +for i, (op, a, b) in enumerate(classes): + body = KK[abs(op)] if op > 0 else KK[abs(op)].adjoint() + physical = frame(a).adjoint().then(body).then(frame(b)) + directions = {} + for d in ('forward', 'backward'): + actual = P.conjugate(ce, physical) if d == 'backward' else physical + rec = X.N.lower_exact(P, ce, actual) + if not rec['rank'] == 0: + raise ValueError('Exact check failed at original source line 84') + directions[d] = rec + phase.append(dict(operator=op, input=a, output=b, recipes=directions)) + if i % 30 == 0: + print('WARP_PHASE', i + 1, '/', len(classes), flush=True) +out['status'] = 'PASS_Q153_SHARED_MAPS_FORMAL_ENDPOINTS_ALL_WARP_PHASES' +out['warp_classes'] = len(classes) +out['warp_phase_seconds'] = time.monotonic() - st +(H / 'QUOTIENT153-ROUND3-ACTUAL-PROFILE.json').write_text(json.dumps(out, indent=2)) +(H / 'QUOTIENT153-ROUND3-WARP-PHASES.json.gz').write_bytes(gzip.compress(json.dumps(phase, sort_keys=True).encode(), mtime=0)) +print(out['status'], flush=True) diff --git a/research/native-dual-suppliers/admit_newer_quotient_main.py b/research/native-dual-suppliers/admit_newer_quotient_main.py new file mode 100644 index 0000000000..58599b1b86 --- /dev/null +++ b/research/native-dual-suppliers/admit_newer_quotient_main.py @@ -0,0 +1,147 @@ +"""Portable exact typed quotient checker. Apache-2.0; substantial AI assistance.""" +from pathlib import Path +from collections import Counter +from hashlib import sha256 +import json, gzip, sys, time +import argparse +_parser = argparse.ArgumentParser() +_parser.add_argument('--source-root', required=True, type=Path) +_args = _parser.parse_args() +H = Path(__file__).resolve().parent +R = _args.source_root.resolve() +_manifest = json.loads((H / 'SOURCE-CLOSURE-QUOTIENT-ROUND3.json').read_text(encoding='utf-8')) +for _row in _manifest['files']: + if not sha256((R / _row['path']).read_bytes()).hexdigest() == _row['sha256']: + raise ValueError('Changed source: ' + _row['path']) +for _name, _hash in _manifest['owned_modules'].items(): + if not sha256((H / _name).read_bytes()).hexdigest() == _hash: + raise ValueError('Changed quotient artifact: ' + _name) +sys.path.insert(0, str(R / 'research/joint-helper-lattice')) +import native_joint as J +F = J.F +ce = F.load(R / 'research/t74-native-fast/vendor/native/new/code/borrow/vendor/clifford/clifford_exact.py', 'typed_nf_ce') +P = F.load(R / 'research/kappa-function-composition/complex/prune_native.py', 'typed_nf_decode') +X = F.load(R / 'research/kappa-rebuild/complex/native_extensions.py', 'typed_nf_lower') +_repaired_raw = gzip.decompress((H / 'QUOTIENT153-ROUND3-ACTUAL-WORD.json.gz').read_bytes()) +if not sha256(_repaired_raw).hexdigest() == _manifest['repaired_payload_sha256']: + raise ValueError('Exact check failed at original source line 20') +z = json.loads(_repaired_raw) +c = z['canonical'] +cache = {} + +def frame(i): + if i not in cache: + cache[i] = ce.canonical_frame(9, c['frames'][i]) + return cache[i] + +def sp(b): + s = {0} + for v in b: + s |= {x ^ v for x in tuple(s)} + return frozenset(s) + +def basis(s): + b = [] + cur = {0} + for v in sorted(s): + if v not in cur: + b.append(v) + cur |= {x ^ v for x in tuple(cur)} + return b + +def extend(B, more): + for v in more: + if ce.rank(B + [v]) > len(B): + B.append(v) + return B + +def Kop(cols): + G = ce.transpose(tuple(cols), 9) + gi = ce.inv(G, 9) + tr = ce.transpose(gi, 9) + quad = tuple((1 << i ^ sum((ce.parity(a & b) << j for j, b in enumerate(tr))) for i, a in enumerate(tr))) + return ce.perm(9, G).then(ce.diag(9, quad)) + +def equal(a, b): + return a.tab == b.tab and a.zero_state() == b.zero_state() +D = ce.fourier(9, range(1, 8)) +Q = ce.cgate(9, 1) +out = [] +st = time.monotonic() +kinds = Counter() +for port in range(112): + sx, sy = (c['start'][port], c['start'][112 + port]) + hy, ax = (c['final'][port], c['final'][112 + port]) + if not (not c['frames'][sy] and len(c['frames'][sx]) == 1): + raise ValueError('Exact check failed at original source line 43') + cvec = c['frames'][sx][0] + AA = sp(c['frames'][ax]) + HH = sp(c['frames'][hy]) + if not (len(HH) == 256 and cvec in HH): + raise ValueError('Exact check failed at original source line 44') + if len(AA) == 128: + kind = 'A' + if not (cvec not in AA and AA < HH): + raise ValueError('Exact check failed at original source line 46') + cols = [cvec] + basis(AA) + TY = D + else: + kind = 'B' + if not AA == HH: + raise ValueError('Exact check failed at original source line 48') + cols = extend([cvec], basis(HH)) + TY = D.then(Q) + cols = extend(cols, [1 << i for i in range(9)]) + if not len(cols) == 9: + raise ValueError('Exact check failed at original source line 49') + MY = Kop(cols) + Cc, CA, CH = (frame(sx), frame(ax), frame(hy)) + AX = Cc.adjoint().then(CH) + MX = Q.adjoint().then(MY).then(Cc) + OX = CH.adjoint().then(MY.adjoint()).then(Q).then(D) + OY = CA.adjoint().then(MY.adjoint()).then(TY) + wrappers = {} + for name, op in [('input_X', MX), ('input_Y', MY), ('output_X', OX), ('output_Y', OY)]: + rec = X.N.lower_exact(P, ce, op) + if not (rec['rank'] == 0 and rec['right'] is None): + raise ValueError('Exact check failed at original source line 56') + wrappers[name] = rec + if not equal(MX.then(AX).then(OX), D): + raise ValueError('Exact check failed at original source line 57') + if not equal(MY.then(CA).then(OY), TY): + raise ValueError('Exact check failed at original source line 58') + if not equal(MX.then(Cc.adjoint()).then(CA).then(OY), Q.adjoint().then(TY)): + raise ValueError('Exact check failed at original source line 59') + kinds[kind] += 1 + out.append(dict(port=port, kind=kind, center_vector=cvec, frames=dict(start_X=sx, start_Y=sy, final_X=hy, final_Y=ax), address_map_columns=cols, wrappers=wrappers, exact_diagonal_X=True, exact_diagonal_Y=True, exact_shear_coefficient=True)) + if port % 16 == 0: + print('PAIR', port, '/', 112, flush=True) +payload = json.dumps(out, sort_keys=True, separators=(',', ':')).encode() +(H / 'QUOTIENT153-ROUND3-MAIN-NORMALIZERS.json.gz').write_bytes(gzip.compress(payload, mtime=0)) +receipt = dict(status='PASS_EXACT_TYPED_QUOTIENT_PAIR_NORMAL_FORM', port_types=dict(kinds), ports=112, exact_monomial_normalizers=448, exact_block_identities=336, absolute_phases=True, source_word_payload_sha256=sha256(gzip.decompress((H / 'QUOTIENT153-ROUND3-ACTUAL-WORD.json.gz').read_bytes())).hexdigest(), normalizers_payload_sha256=sha256(payload).hexdigest(), seconds=time.monotonic() - st, forward_type_A='D S_y(Q^-1)', forward_type_B='diag(D,QD) S_y(Q^-1)', D_rank=7, Q_rank=1, Q_squared='monomial', scope='Typed local supplier, not old rank-eight interface or a completed multiplication theorem') +(H / 'QUOTIENT153-ROUND3-MAIN-RECEIPT.json').write_text(json.dumps(receipt, indent=2)) +print(json.dumps(receipt, indent=2)) + +pairs = {(e[3], e[4], e[5]) for p in z['programs'].values() for e in p if e[0] == 'climb'} +pairs |= {(e[2], e[3], e[4]) for p in z['programs'].values() for e in p if e[0] == 'center'} +pairs |= {(a, b, len(c['frames'][b]) - len(c['frames'][a])) for a, b in zip(c['start'][224:], c['final'][224:])} +pp = [] +st2 = time.monotonic() +for i, (a, b, r) in enumerate(sorted(pairs)): + physical = frame(a).adjoint().then(frame(b)) + ds = {} + for d in ('forward', 'backward'): + actual = P.conjugate(ce, physical) if d == 'backward' else physical + rec = X.N.lower_exact(P, ce, actual) + if not rec['rank'] == r: + raise ValueError('Exact check failed at original source line 64') + ds[d] = rec + pp.append(dict(input=a, output=b, rank=r, recipes=ds)) + if i % 100 == 0: + print('PAID_HELPER', i + 1, '/', len(pairs), flush=True) +(H / 'QUOTIENT153-ROUND3-PAID-HELPER-PHASES.json.gz').write_bytes(gzip.compress(json.dumps(pp, sort_keys=True).encode(), mtime=0)) +receipt['status'] = 'PASS_Q153_EXACT_TYPED_MAINS_AND_ALL_PAID_HELPER_PHASES' +receipt['paid_center_helper_pairs'] = len(pairs) +receipt['paid_helper_seconds'] = time.monotonic() - st2 +(H / ('QUOTIENT153-ROUND3-MAIN-RECEIPT-PORTABLE.json' if False else 'QUOTIENT153-ROUND3-MAIN-RECEIPT.json')).write_text(json.dumps(receipt, indent=2)) +print(json.dumps(receipt), flush=True) diff --git a/research/native-dual-suppliers/intersection_newer_base.py b/research/native-dual-suppliers/intersection_newer_base.py new file mode 100644 index 0000000000..ba5dbc5de3 --- /dev/null +++ b/research/native-dual-suppliers/intersection_newer_base.py @@ -0,0 +1,84 @@ +"""Portable exact orthogonal-restriction builder. Apache-2.0; AI assistance.""" +from pathlib import Path +from collections import Counter +from copy import deepcopy +import sys, json, ast, gzip +import argparse, hashlib +_parser = argparse.ArgumentParser() +_parser.add_argument('--source-root', required=True, type=Path) +_args = _parser.parse_args() +H = Path(__file__).resolve().parent +R = _args.source_root.resolve() +_manifest = json.loads((H / 'SOURCE-CLOSURE-ROUND3.json').read_text(encoding='utf-8')) +for _row in _manifest['files']: + if not hashlib.sha256((R / _row['path']).read_bytes()).hexdigest() == _row['sha256']: + raise ValueError('Changed source: ' + _row['path']) +for _name, _hash in _manifest['owned_modules'].items(): + if not hashlib.sha256((H / _name).read_bytes()).hexdigest() == _hash: + raise ValueError('Changed owned module: ' + _name) +sys.path.insert(0, str(H)) +from synthesis import synthesize as _resynthesize +sys.path.insert(0, str(R / 'research/joint-helper-lattice')) +import native_joint as J +F = J.F +_raw=gzip.decompress((H/'BASE-ROUND3-WORD.json.gz').read_bytes()) +if hashlib.sha256(_raw).hexdigest()!=_manifest['base_actual_word_payload_sha256']: + raise ValueError('Changed round-three source word') +_z=json.loads(_raw) +c,p=_z['canonical'],_z['programs'] +h = 153 +oldframes = c['frames'] +frames = [[], [1 << i for i in range(9)]] +labels = {frozenset({0}): 0, F.span(frames[1]): 1} +remap = {} + +def basis(s): + b = [] + cur = {0} + for x in sorted(s): + if x not in cur: + b.append(x) + cur |= {v ^ x for v in tuple(cur)} + return b +for i, b in enumerate(oldframes): + sp = frozenset((x for x in F.span(b) if (x & h).bit_count() % 2 == 0)) + if sp not in labels: + labels[sp] = len(frames) + frames.append(basis(sp)) + remap[i] = labels[sp] +cc = deepcopy(c) +cc['frames'] = frames +cc['start'] = [remap[x] for x in c['start']] +cc['final'] = [remap[x] for x in c['final']] +pp = {} +for d, word in p.items(): + out = [] + for e in deepcopy(word): + if e[0] == 'climb': + continue + if e[0] == 'scalar': + e[2] = remap[e[2]] + elif e[0] == 'warp': + e[3:5] = [remap[e[3]], remap[e[4]]] + elif e[0] == 'center': + e[2:4] = [remap[e[2]], remap[e[3]]] + e[4] = abs(len(frames[e[2]]) - len(frames[e[3]])) + out.append(e) + pp[d] = out +pp = {d: _resynthesize(F, cc, p) for d, p in pp.items()} +profiles = {} +for d, p in pp.items(): + P = Counter((e[5] for e in p if e[0] == 'climb')) + P.update((e[4] for e in p if e[0] == 'center')) + P.update((abs(len(frames[e[3]]) - len(frames[e[4]])) for e in p if e[0] == 'warp')) + P.pop(0, None) + profiles[d] = dict(P) +if not profiles['forward'] == profiles['backward']: + raise ValueError('Exact check failed at original source line 44') +HH = Counter((len(frames[b]) - len(frames[a]) for a, b in zip(cc['start'][224:], cc['final'][224:]))) +if not min(HH) > 0: + raise ValueError('Exact check failed at original source line 44') +out = dict(normal=h, frames=len(frames), paid=profiles['forward'], helpers=dict(HH), local_deficit=sum((k * n for k, n in profiles['forward'].items())) - sum((k * n for k, n in HH.items())), main_ranks=dict(Counter((len(frames[b]) - len(frames[a]) for a, b in zip(cc['start'][:224], cc['final'][:224])))), status='MINIMUM_WARP_RANK_PROFILE_PENDING_SHARED_MAP_ADMISSION') +(H / 'INTERSECTION153-ROUND3-MIN-PROFILE.json').write_text(json.dumps(out, indent=2)) +(H / 'INTERSECTION153-ROUND3-DISCOVERY-WORD.json').write_text(json.dumps(dict(canonical=cc, programs=pp))) +print(json.dumps(out, indent=2)) diff --git a/research/native-dual-suppliers/quotient_newer_base.py b/research/native-dual-suppliers/quotient_newer_base.py new file mode 100644 index 0000000000..87e8b7115d --- /dev/null +++ b/research/native-dual-suppliers/quotient_newer_base.py @@ -0,0 +1,85 @@ +"""Portable exact orthogonal-restriction builder. Apache-2.0; AI assistance.""" +from pathlib import Path +from collections import Counter +from copy import deepcopy +import sys, json, ast, gzip +import argparse, hashlib +_parser = argparse.ArgumentParser() +_parser.add_argument('--source-root', required=True, type=Path) +_args = _parser.parse_args() +H = Path(__file__).resolve().parent +R = _args.source_root.resolve() +_manifest = json.loads((H / 'SOURCE-CLOSURE-QUOTIENT-ROUND3.json').read_text(encoding='utf-8')) +for _row in _manifest['files']: + if not hashlib.sha256((R / _row['path']).read_bytes()).hexdigest() == _row['sha256']: + raise ValueError('Changed source: ' + _row['path']) +for _name, _hash in _manifest['owned_modules'].items(): + if not hashlib.sha256((H / _name).read_bytes()).hexdigest() == _hash: + raise ValueError('Changed owned module: ' + _name) +sys.path.insert(0, str(H)) +from synthesis import synthesize as _resynthesize +sys.path.insert(0, str(R / 'research/joint-helper-lattice')) +import native_joint as J +F = J.F +_raw=gzip.decompress((H/'BASE-ROUND3-WORD.json.gz').read_bytes()) +if hashlib.sha256(_raw).hexdigest()!=_manifest['base_actual_word_payload_sha256']: + raise ValueError('Changed round-three source word') +_z=json.loads(_raw) +c,p=_z['canonical'],_z['programs'] +h = 153 +oldframes = c['frames'] +frames = [[], [1 << i for i in range(9)]] +labels = {frozenset({0}): 0, F.span(frames[1]): 1} +remap = {} + +def basis(s): + b = [] + cur = {0} + for x in sorted(s): + if x not in cur: + b.append(x) + cur |= {v ^ x for v in tuple(cur)} + return b +for i, b in enumerate(oldframes): + pivot = h & -h + sp = frozenset((x ^ h) if x & pivot else x for x in F.span(b)) + if sp not in labels: + labels[sp] = len(frames) + frames.append(basis(sp)) + remap[i] = labels[sp] +cc = deepcopy(c) +cc['frames'] = frames +cc['start'] = [remap[x] for x in c['start']] +cc['final'] = [remap[x] for x in c['final']] +pp = {} +for d, word in p.items(): + out = [] + for e in deepcopy(word): + if e[0] == 'climb': + continue + if e[0] == 'scalar': + e[2] = remap[e[2]] + elif e[0] == 'warp': + e[3:5] = [remap[e[3]], remap[e[4]]] + elif e[0] == 'center': + e[2:4] = [remap[e[2]], remap[e[3]]] + e[4] = abs(len(frames[e[2]]) - len(frames[e[3]])) + out.append(e) + pp[d] = out +pp = {d: _resynthesize(F, cc, p) for d, p in pp.items()} +profiles = {} +for d, p in pp.items(): + P = Counter((e[5] for e in p if e[0] == 'climb')) + P.update((e[4] for e in p if e[0] == 'center')) + P.update((abs(len(frames[e[3]]) - len(frames[e[4]])) for e in p if e[0] == 'warp')) + P.pop(0, None) + profiles[d] = dict(P) +if not profiles['forward'] == profiles['backward']: + raise ValueError('Exact check failed at original source line 44') +HH = Counter((len(frames[b]) - len(frames[a]) for a, b in zip(cc['start'][224:], cc['final'][224:]))) +if not min(HH) > 0: + raise ValueError('Exact check failed at original source line 44') +out = dict(normal=h, frames=len(frames), paid=profiles['forward'], helpers=dict(HH), local_deficit=sum((k * n for k, n in profiles['forward'].items())) - sum((k * n for k, n in HH.items())), main_ranks=dict(Counter((len(frames[b]) - len(frames[a]) for a, b in zip(cc['start'][:224], cc['final'][:224])))), status='MINIMUM_WARP_RANK_PROFILE_PENDING_SHARED_MAP_ADMISSION') +(H / 'QUOTIENT153-ROUND3-MIN-PROFILE.json').write_text(json.dumps(out, indent=2)) +(H / 'QUOTIENT153-ROUND3-DISCOVERY-WORD.json').write_text(json.dumps(dict(canonical=cc, programs=pp))) +print(json.dumps(out, indent=2)) diff --git a/research/native-dual-suppliers/synthesis.py b/research/native-dual-suppliers/synthesis.py new file mode 100644 index 0000000000..57ae78579d --- /dev/null +++ b/research/native-dual-suppliers/synthesis.py @@ -0,0 +1,35 @@ +"""Owned resynthesis adapter derived from Cao Yifan / Cinna Davis native walker. +Apache-2.0; substantial OpenAI assistance. Source notices retained in proof. +""" +from copy import deepcopy +def roles(e): + if e[0] == 'scalar': + g = e[1] + return [r[1] for r in (g[1:3] if g[0] in ('add', 'copy') else g[1:2]) if r[0] == 'L'] + return [e[1][1]] if e[0] == 'warp' else [] + +def synthesize(F, c, program): + current = c['start'][:] + spaces = [F.span(b) for b in c['frames']] + out = [] + + def climb(r, new): + old = current[r] + if old == new: + return + F.need(spaces[old] < spaces[new], f"Positive reconstructed transport role={r} old={old} new={new} dimensions={len(c['frames'][old])},{len(c['frames'][new])}") + out.append(['climb', 'warp_retimed', r, old, new, len(c['frames'][new]) - len(c['frames'][old])]) + current[r] = new + for e in program: + if e[0] == 'climb': + continue + if e[0] == 'scalar': + for r in roles(e): + climb(r, e[2]) + elif e[0] == 'warp': + climb(e[1][1], e[3]) + current[e[1][1]] = e[4] + out.append(deepcopy(e)) + for r, new in enumerate(c['final']): + climb(r, new) + return out diff 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Every changed transport +is independently lowered as an exact Clifford, including its absolute phase. +""" +from collections import Counter +from copy import deepcopy +from fractions import Fraction as Q +import gzip +import importlib.util +import json +from pathlib import Path +import sys + +HERE = Path(__file__).resolve().parent +ROOT = HERE.parents[1] +BASE = ROOT/'research/kappa-rebuild/complex/full-identity-certificates' + +def need(ok, why): + if not ok: + raise ValueError(why) + +def load(path, name): + spec = importlib.util.spec_from_file_location(name, path) + m = importlib.util.module_from_spec(spec) + sys.modules[name] = m + spec.loader.exec_module(m) + return m + +def read(path): + data = Path(path).read_bytes() + return json.loads(gzip.decompress(data) if str(path).endswith('.gz') else data) + +def span(basis): + out = {0} + for x in basis: + out |= {v ^ x for v in tuple(out)} + return frozenset(out) + +def gates(program): + phase = None + counters = Counter() + result = {} + for i, e in enumerate(program): + if e[0] == 'phase': + phase = e[1] + if e[0] == 'scalar': + g = e[1] + roles = g[1:3] if g[0] in ('add', 'copy') else g[1:2] + if all(r[0] == 'L' for r in roles): + key = (phase, counters[phase]) + result[key] = i + counters[phase] += 1 + return result + +def dual(g): + g = deepcopy(g) + if g[0] == 'add': + g[1], g[2] = g[2], g[1] + g[3] *= -1 + else: + need(g[0] == 'scale', 'Reversible persistent scalar') + g[2], g[3] = g[3], g[2] + return g + +def synthesize(c, program): + current = c['start'][:] + out = [] + def climb(r, f): + old = current[r] + if old == f: + return + need(span(c['frames'][old]) < span(c['frames'][f]), 'Nested positive retimed transport') + out.append(['climb', 'retimed', r, old, f, len(c['frames'][f])-len(c['frames'][old])]) + current[r] = f + i = 0 + while i < len(program): + e = deepcopy(program[i]); i += 1 + if e[0] == 'climb': + continue + if e[0] == 'center': + second = program[i] + need(second[0] == 'center' and e[1] == second[1] == 0 and e[3] == second[2], 'Original center split') + need(sorted((e[4], second[4])) == [3, 5], 'Original 3+5 center') + e = ['center', 0, e[2], second[3], 8]; i += 1 + if e[0] == 'scalar': + g = e[1] + roles = g[1:3] if g[0] in ('add', 'copy') else g[1:2] + for r in roles: + if r[0] == 'L': + climb(r[1], e[2]) + elif e[0] == 'warp': + need(e[1][0] == 'L', 'Persistent source warp') + climb(e[1][1], e[3]); current[e[1][1]] = e[4] + elif e[0] in ('adapter', 'residual_adapter'): + # Helper wrappers are recomputed on the new whole-job boundaries. + role = e[2] if e[0] == 'adapter' else e[2] + if role >= 224: + continue + out.append(e) + for r, f in enumerate(c['final']): + climb(r, f) + return out + +def run(changes=None, phase_check=True): + c = read(BASE/'THREE-base-FULL-IDENTITY-CANONICAL.json.gz') + original = read(BASE/'THREE-base-FULL-IDENTITY-NATIVE.json.gz') + changes = read(HERE/'CHANGES.json') if changes is None else changes + for key, frame_key in (('entrances', 'start'), ('exits', 'final')): + seen = set() + for role, old, new in changes[key]: + need(role not in seen and 224 <= role < 632 and c[frame_key][role] == old, 'Bound unique helper boundary') + seen.add(role); c[frame_key][role] = new + maps = {d: gates(p) for d, p in original.items()} + need(set(maps['forward']) == set(maps['backward']), 'Both scalar orientations have the same contact inventory') + for key in maps['forward']: + f = original['forward'][maps['forward'][key]] + b = original['backward'][maps['backward'][key]] + need(b[1] == dual(f[1]) and b[2] == f[2], 'Actual inverse-transpose scalar correspondence') + changed = deepcopy(original) + seen = set() + for phase, ordinal, old, new in changes['gates']: + key = (phase, ordinal) + need(key not in seen and key in maps['forward'], 'Bound unique retimed scalar contact') + seen.add(key) + for d in changed: + e = changed[d][maps[d][key]] + need(e[2] == old, 'Original scalar frame pin') + e[2] = new + programs = {d: synthesize(c, p) for d, p in changed.items()} + V = load(ROOT/'research/kappa-causal-continuation/buffer-borrowing/verify_buffers.py', 'fresh_boundary_rows') + X = load(ROOT/'research/kappa-rebuild/complex/native_extensions.py', 'fresh_boundary_literal') + checks = {} + profiles = {} + for d, p in programs.items(): + rows, receipt = X.literal_replay(V, c, p, d == 'backward') + for r in range(632): + need(rows['L', r] == V.expected(('L', r), [], d == 'backward', False), 'Every actual arbitrary-input endpoint, role '+str(r)) + profiles[d] = Counter({int(k): v for k, v in receipt['paid_profile'].items()}) + rebound = deepcopy(c) + rebound['local_profile'] = dict(profiles[d]) + receipt['second_literal'] = V.replay(p, rebound, [], d == 'backward', False) + checks[d] = receipt + need(profiles['forward'] == profiles['backward'], 'Same complete native tariff in both orientations') + H = Counter() + for r in range(224, 632): + a, b = c['start'][r], c['final'][r] + need(span(c['frames'][a]) <= span(c['frames'][b]), 'Nested productive helper boundary') + width = len(c['frames'][b])-len(c['frames'][a]) + need(width > 0, 'Every declared helper is independently productive') + H[width] += 1 + physical = [] + if phase_check: + ce = load(ROOT/'research/t74-native-fast/vendor/native/new/code/borrow/vendor/clifford/clifford_exact.py', 'fresh_boundary_clifford') + P = load(ROOT/'research/kappa-function-composition/complex/prune_native.py', 'fresh_boundary_lowering') + N = X.N + old_edges = {(e[3], e[4]) for e in original['forward'] if e[0] == 'climb'} + new_edges = {(e[3], e[4]) for e in programs['forward'] if e[0] == 'climb'} + helper_edges = {(c['start'][r], c['final'][r]) for r in range(224, 632)} + for a, b in sorted((new_edges-old_edges) | helper_edges): + op = ce.canonical_frame(9, c['frames'][a]).adjoint().then(ce.canonical_frame(9, c['frames'][b])) + want = len(c['frames'][b])-len(c['frames'][a]) + directions = {} + for d in ('forward', 'backward'): + actual = P.conjugate(ce, op) if d == 'backward' else op + rec = N.lower_exact(P, ce, actual) + need(rec['rank'] == want, 'New physical Fourier rank including phase') + directions[d] = rec + physical.append({'old': a, 'new': b, 'rank': want, 'recipes': directions}) + return {'status': 'PASS_RETIMED_BOTH_ORIENTATIONS_ALL_632_COLUMNS', + 'helpers': dict(sorted(H.items())), 'paid': dict(sorted(profiles['forward'].items())), + 'changed_entrances': len(changes['entrances']), 'changed_exits': len(changes['exits']), + 'changed_scalar_frames': len(changes['gates']), 'native': checks, + 'new_physical_edges_and_boundaries': physical}, c, programs + +if __name__ == '__main__': + import argparse + p = argparse.ArgumentParser(); p.add_argument('--skip-phase', action='store_true'); p.add_argument('--write-result', action='store_true'); args = p.parse_args() + result, _, _ = run(phase_check=not args.skip_phase) + if args.write_result: + need(not args.skip_phase, 'Do not replace a complete phase receipt with a diagnostic') + 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Substantial OpenAI assistance. Uses the credited native retiming +implementation of PR4441 and preserves PR4447's missing-span predecessor. +""" +from collections import Counter +from copy import deepcopy +from pathlib import Path +import json,gzip,sys +sys.dont_write_bytecode=True +HERE=Path(__file__).resolve().parent +ROOT=HERE.parents[1] +sys.path.insert(0,str(ROOT/'research/fresh-helper-boundary')) +import native as F +need=F.need + +def construct(patch=None): + c=F.read(F.BASE/'THREE-base-FULL-IDENTITY-CANONICAL.json.gz') + original=F.read(F.BASE/'THREE-base-FULL-IDENTITY-NATIVE.json.gz') + parent=F.read(F.HERE/'CHANGES.json') + maps={d:F.gates(p) for d,p in original.items()} + need(set(maps['forward'])==set(maps['backward']),'Same scalar contact inventory') + for key in maps['forward']: + f=original['forward'][maps['forward'][key]];b=original['backward'][maps['backward'][key]] + need(b[1]==F.dual(f[1]) and b[2]==f[2],'Retained exact dual scalar words') + for key,field in [('entrances','start'),('exits','final')]: + for r,old,new in parent[key]: + need(c[field][r]==old,'Parent boundary pin');c[field][r]=new + for phase,ordinal,old,new in parent['gates']: + for d,p in original.items(): + i=maps[d][phase,ordinal];need(p[i][2]==old,'Parent scalar pin');p[i][2]=new + prior=F.read(ROOT/'research/missing-join-frame/PATCH.json') + need(prior['phase']=='B' and prior['ordinal']==480,'Exact prior contact') + prior_frame=len(c['frames']);c['frames'].append(prior['new_basis']) + for d,p in original.items(): + i=maps[d]['B',480];need(p[i][2]==prior['old_frame'],'Missing-span parent pin');p[i][2]=prior_frame + baseline=deepcopy(c) + before={d:F.synthesize(c,p) for d,p in original.items()} + patch=F.read(HERE/'PATCH.json') if patch is None else patch + need(patch['source_head']=='322e0ec764aa7ef7801383feb1f656e460dd8bed','Pinned candidate head') + labels={frozenset(F.span(b)):i for i,b in enumerate(c['frames'])} + def label(b): + s=frozenset(F.span(b));need(len(s)==2**len(b),'Independent binary basis') + if s not in labels:labels[s]=len(c['frames']);c['frames'].append(b) + return labels[s] + seen=set();counts=Counter() + for move in patch['changes']: + phase,r=move['phase'],move['ordinal'];key=(phase,r) + need(key not in seen,'No duplicate changed boundary/contact');seen.add(key) + a,b=F.span(move['old']),F.span(move['new']);need(a!=b,'No unchanged patch entry') + f=label(move['new']);counts[phase]+=1 + if phase in ('entrance','exit'): + need(224<=r<632,'Only independent helper boundaries may change') + field='start' if phase=='entrance' else 'final' + need(F.span(c['frames'][c[field][r]])==a,'Current helper source pin') + c[field][r]=f + else: + for d,p in original.items(): + i=maps[d][key];need(F.span(c['frames'][p[i][2]])==a,'Current scalar source pin');p[i][2]=f + programs={d:F.synthesize(c,p) for d,p in original.items()} + return c,programs,baseline,before,counts + +def run(phase_check=True): + c,programs,baseline,before,counts=construct() + V=F.load(ROOT/'research/kappa-causal-continuation/buffer-borrowing/verify_buffers.py','joint_rows') + X=F.load(ROOT/'research/kappa-rebuild/complex/native_extensions.py','joint_literal') + checks={};profiles={} + for d,p in programs.items(): + rows,rec=X.literal_replay(V,c,p,d=='backward') + for r in range(632):need(rows['L',r]==V.expected(('L',r),[],d=='backward',False),'All 632 arbitrary-input endpoints') + profiles[d]=Counter({int(k):v for k,v in rec['paid_profile'].items()}) + rebound=deepcopy(c);rebound['local_profile']=dict(profiles[d]) + rec['second_literal']=V.replay(p,rebound,[],d=='backward',False);checks[d]=rec + need(profiles['forward']==profiles['backward'],'Both complete native rank tariffs') + H=Counter() + for r in range(224,632): + a,b=c['start'][r],c['final'][r] + need(F.span(c['frames'][a]) 0 else -1) * (abs(operator) + (10**6 if backward else 0)) + out = {} + for (variable, word), coefficient in row.items(): + moved = word[1:] if word and word[0] == -symbol else (symbol,) + word + key = variable, moved + out[key] = out.get(key, Q(0)) + coefficient + return {k: v for k, v in out.items() if v} + + +def expected(role, R, backward, clean): + out = identity(role) + name, i = role + if name != "L": + return out + target = i < 112 if backward else 112 <= i < 224 + if not target: + return out + port = i if backward else i - 112 + source_offset = 112 if backward else 0 + sign = -1 if backward else 1 + add(out, identity(("L", source_offset + port)), Q(sign)) + if clean: + for query in R: + if port in query: + for j, value in query.items(): + add(out, identity(("L", source_offset + j)), -sign * query[port] * value / 4) + return out + + +def replay(program, canonical, R, backward, clean, omit_cleanup_last=False): + """All L inputs and all Z inputs are independent, including dirty outputs.""" + n = 2 * canonical["v"] + canonical["R"] + need(n == 632, "Retained compact width") + rows = {("L", i): identity(("L", i)) for i in range(n)} + current = {("L", i): frame for i, frame in enumerate(canonical["start"])} + center_indices = set() + for event in program: + if event[0] == "scalar": + op = event[1] + for register in op[1:3] if op[0] in ("add", "copy") else op[1:2]: + if register[0] == "C": + center_indices.add(register[1]) + elif event[0] == "center": + center_indices.add(event[1]) + need(center_indices <= set(range(8)), "Known center workspace indices") + for i in center_indices: + rows["C", i] = identity(("C", i)) + current["C", i] = None + spaces = [span(vectors) for vectors in canonical["frames"]] + dimensions = [len(s).bit_length() - 1 for s in spaces] + need(dimensions[1] == 9, "Cleanup uses the full native frame") + live = set() + profile = Counter() + counts = Counter() + scalar_primitives = 0 + cleanup_start = next(i for i, event in enumerate(program) if event == ["phase", "full_frame_cleanup"]) + last_scalar = max(i for i, event in enumerate(program) if event[0] == "scalar" and i > cleanup_start) + for position, event in enumerate(program): + kind = event[0] + counts[kind] += 1 + if kind in ("climb", "center"): + if kind == "climb": + _, part, index, old, new, rank = event + role = "L", index + need(spaces[old] < spaces[new], "Non-nested or empty paid climb") + else: + _, index, old, new, rank = event + role = "C", index + need(spaces[old] < spaces[new] or spaces[new] < spaces[old], "Center residual is not nested") + need(current[role] == old and rank == abs(dimensions[new] - dimensions[old]), "Paid edge source/rank") + current[role] = new + profile[rank] += 1 + elif kind == "zero_buffer": + _, action, index = event + role = "Z", index + if action == "alloc": + need(role not in rows and role not in live, "Cleanup buffer duplicate") + rows[role] = identity(role) + current[role] = 1 + live.add(role) + else: + need(action == "free" and role in live and current[role] == 1, "Cleanup buffer retirement") + live.remove(role) + elif kind == "warp": + _, role, operator, old, new = event + role = tuple(role) + need(current[role] == old, "Warp entrance frame") + rows[role] = warp(rows[role], operator, backward) + current[role] = new + elif kind == "scalar": + op, frame = event[1:] + target = tuple(op[1]) + if op[0] == "clear": + need(target[0] == "C", "A borrowed input was cleared") + rows[target] = {} + current[target] = frame + scalar_primitives += 1 + continue + need(current[target] == frame, "Scalar target frame") + if op[0] in ("add", "copy"): + source = tuple(op[2]) + need(current[source] == frame, "Scalar source frame") + if op[0] == "copy": + need(target[0] == "C", "Copy overwrites borrowed state") + rows[target] = dict(rows[source]) + scalar_primitives += 1 + continue + coefficient = Q(op[3], op[4]) + need(target != source, "Self-ADD is not a reversible shear") + numerator, denominator = abs(coefficient.numerator), coefficient.denominator + need(numerator and denominator & (denominator - 1) == 0, "Non-dyadic ADD") + scalar_primitives += 3 + numerator.bit_length() - 1 + numerator.bit_count() + denominator.bit_length() - 1 + if not (omit_cleanup_last and position == last_scalar): + add(rows[target], rows[source], coefficient) + else: + need(op[0] == "scale", "Unknown scalar event") + coefficient = Q(op[2], op[3]) + numerator, denominator = abs(coefficient.numerator), coefficient.denominator + need(numerator and numerator & (numerator - 1) == 0 and denominator & (denominator - 1) == 0, + "Nonunit dyadic SCALE") + scalar_primitives += abs(numerator.bit_length() - denominator.bit_length()) + int(coefficient < 0) + if not (omit_cleanup_last and position == last_scalar): + rows[target] = {k: coefficient * v for k, v in rows[target].items()} + else: + need(kind in ("phase", "adapter", "residual_adapter"), "Unknown native event") + need(not live and [current["L", i] for i in range(n)] == canonical["final"], "Retired fields/final frames") + need(dict(profile) == {int(k): v for k, v in canonical["local_profile"].items()}, "Complete paid profile") + mismatches = [] + for role, actual in rows.items(): + wanted = {} if role[0] == "C" else expected(role, R, backward, clean) + if actual != wanted: + mismatches.append({"role": list(role), "unequal_coefficients": sum(actual.get(k, 0) != wanted.get(k, 0) for k in set(actual) | set(wanted))}) + if not omit_cleanup_last: + need(not mismatches, "Native dirty-buffer operator mismatch: " + repr(mismatches[:3])) + else: + need(mismatches, "Missing-cleanup negative control unexpectedly accepted") + buffer_count = sum(role[0] == "Z" for role in rows) + return dict(direction="backward" if backward else "forward", clean_J=clean, + independent_borrowed_input_fields=632+buffer_count, original_data_fields=224, + expected_restored_helpers=408, expected_restored_arbitrary_cleanup_buffers=buffer_count, + explicitly_owned_C_fields_cleared=len(center_indices), event_counts=dict(counts), + paid_profile=dict(sorted(profile.items())), paid_rank_mass=sum(k*v for k,v in profile.items()), + conservative_real_scalar_primitive_allowance=2*scalar_primitives, + all_scalar_frames_checked=True, dyadic_coefficients_and_unit_scales_checked=True, + free_warp_operator_endpoint_matches=not mismatches, + negative_control_omitted_last_cleanup_scalar=omit_cleanup_last, + mismatch_examples=mismatches[:3]) + + +def liveness(canonical): + times = defaultdict(list) + for i, event in enumerate(canonical["cleanup"]): + for role in event[1:3] if event[0] == "add" else event[1:2]: + role = tuple(role) if isinstance(role, list) else ("L", role) + times[role].append(i) + full = [i for i, f in enumerate(canonical["final"]) if f == 1] + candidates = [] + for z in canonical["zero_buffers"]: + begin, end = min(times["Z", z]), max(times["Z", z]) + possible = [i for i in range(112) if all(t < begin or t > end for t in times["L", i])] + candidates.append(dict(buffer=z, first_use=begin, last_use=end, + noninterfering_same_call_X_candidates=possible, + noninterfering_full_frame_L_candidates=[i for i in full if all(t < begin or t > end for t in times["L", i])])) + return dict(full_frame_live_roles=len(full), full_frame_roles_unused_in_cleanup=[i for i in full if not times["L", i]], + same_call_X_outputs_touched=sum(bool(times["L", i]) for i in range(112)), + buffers_with_no_noninterfering_same_call_X=sum(not row["noninterfering_same_call_X_candidates"] for row in candidates), + buffers_with_no_noninterfering_full_frame_L=sum(not row["noninterfering_full_frame_L_candidates"] for row in candidates), + intervals=candidates, + conclusion="Arbitrary-buffer restoration does not establish a legal same-call completed-output alias.", + external_same_frame_bank_requirement=91, + external_bank_hosting_constructed=False) + + +def find_aliases(canonical): + """Injective lifetime-safe matching; no native L access during its Z span.""" + options = {row["buffer"]: row["noninterfering_full_frame_L_candidates"] + for row in liveness(canonical)["intervals"]} + owner = {} + + def augment(z, seen): + for role in options[z]: + if role in seen: + continue + seen.add(role) + if role not in owner or augment(owner[role], seen): + owner[role] = z + return True + return False + + for z in sorted(options, key=lambda z: (len(options[z]), z)): + augment(z, set()) + bindings = {z: role for role, z in owner.items()} + need(len(set(bindings.values())) == len(bindings), "Alias must be injective") + need(all(role in options[z] for z, role in bindings.items()), "Interfering alias") + return bindings + + +def alias_program(program, bindings): + """Replace only Z register operands, retaining every native/scalar event.""" + out = [] + + def mapped(role): + return ["L", bindings[role[1]]] if role[0] == "Z" and role[1] in bindings else list(role) + + for event in program: + if event[0] == "zero_buffer" and event[2] in bindings: + continue + if event[0] == "scalar": + op = event[1].copy() + op[1] = mapped(op[1]) + if op[0] in ("add", "copy"): + op[2] = mapped(op[2]) + out.append(["scalar", op, event[2]]) + elif event[0] == "warp": + out.append([event[0], mapped(event[1]), *event[2:]]) + else: + out.append(event) + return out + + +def main(): + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--output", type=Path, default=HERE / "RESULT.json") + args = parser.parse_args() + pins = authenticate() + R = [{int(k): Q(v) for k, v in row.items()} for row in read(PACKET)["R_rows"]] + providers = {} + for tag in TAGS: + providers[tag] = {} + for clean in (False, True): + folder = "converted" if clean else "sources" + canonical = read(CORE / folder / (tag + "-CANONICAL.json.gz")) + programs = read(CORE / folder / (tag + "-NATIVE-WORD.json.gz")) if clean else emit_original(canonical) + checks = [replay(programs[direction], canonical, R, direction == "backward", clean) + for direction in ("forward", "backward")] + bindings = find_aliases(canonical) + aliases = {direction: alias_program(program, bindings) for direction, program in programs.items()} + aliased_checks = [replay(aliases[direction], canonical, R, direction == "backward", clean) + for direction in ("forward", "backward")] + need(len(bindings) == 53, "Expected source-bound 53-field lifetime match") + for original, aliased in zip(checks, aliased_checks): + need(original["paid_profile"] == aliased["paid_profile"] and + original["conservative_real_scalar_primitive_allowance"] == aliased["conservative_real_scalar_primitive_allowance"], + "Aliasing changes the charged operation list") + providers[tag]["clean_J" if clean else "ordinary"] = dict(checks=checks, liveness=liveness(canonical), + lifetime_alias_bindings={str(z): role for z, role in sorted(bindings.items())}, + aliased_checks=aliased_checks, + eliminated_cleanup_fields=len(bindings), remaining_cleanup_fields=91-len(bindings), + aliased_word_sha256={direction: sha256(json.dumps(program, sort_keys=True, separators=(",", ":")).encode()).hexdigest() + for direction, program in aliases.items()}) + print("PASS all arbitrary cleanup inputs", tag, flush=True) + canonical = read(CORE / "converted/THREE-base-CANONICAL.json.gz") + programs = read(CORE / "converted/THREE-base-NATIVE-WORD.json.gz") + controls = [replay(programs[direction], canonical, R, direction == "backward", True, True) + for direction in ("forward", "backward")] + result = dict(schema="literal-native-dirty-buffers/1", status="PASS_NATIVE_ARBITRARY_DIRTY_BUFFER_REPLAY", + new_multiplication_kappa=False, physical_phase_generation_rerun=False, + phase_evidence="Pinned inherited exact native phase receipts; unchanged native edges.", + source_hashes=pins, verifier_sha256=digest(Path(__file__)), providers=providers, + negative_controls=controls, + lifetime_safe_local_full_frame_aliases_per_word=53, + remaining_external_bank_fields_per_word=38, + all_91_local_output_alias_claim=False, external_bank_placement_and_cost_closed=False) + args.output.parent.mkdir(parents=True, exist_ok=True) + args.output.write_text(json.dumps(result, indent=2) + "\n") + print(result["status"], flush=True) + + +if __name__ == "__main__": + main() diff --git a/research/native-dual-suppliers/v/research/kappa-function-composition/complex/prune_native.py b/research/native-dual-suppliers/v/research/kappa-function-composition/complex/prune_native.py new file mode 100644 index 0000000000..8c3e11b240 --- /dev/null +++ b/research/native-dual-suppliers/v/research/kappa-function-composition/complex/prune_native.py @@ -0,0 +1,253 @@ +#!/usr/bin/env python3 +"""Delete exact unconsumed centre-assembly/inverse pairs, including dirty state. + +Apache-2.0; substantial OpenAI assistance. The native writer and final verifier +are reused with attribution from the frozen causal-continuation package. The +new search checks literal rational perturbations, never numerical similarity. +""" +from collections import Counter +from copy import deepcopy +from fractions import Fraction as Q +from hashlib import sha256 +from pathlib import Path +import argparse +import gzip +import importlib.util +import json +import sys +sys.dont_write_bytecode = True +HERE = Path(__file__).resolve().parent +RESEARCH = HERE.parents[1] +BASE = RESEARCH / 'kappa-global-routing/integrated-complex' +CHECKER = RESEARCH / 'kappa-causal-continuation/buffer-borrowing/verify_buffers.py' +CHECKER_SHA = '106b4d5e052427230df452f0c901d5390a0583782960b80a8af94d9a984022c7' +CLIFFORD = RESEARCH / 't74-native-fast/vendor/native/new/code/borrow/vendor/clifford/clifford_exact.py' +TAGS = ('THREE-base', 'THREE-extra', 'FOUR-base', 'FOUR-extra') + + +def need(ok, why): + if not ok: raise ValueError(why) + + +def digest(path): return sha256(path.read_bytes()).hexdigest() + + +def read(path): + data = path.read_bytes() + return json.loads(gzip.decompress(data) if path.suffix == '.gz' else data) + + +def save(path, value): + data = json.dumps(value, sort_keys=True, separators=(',', ':')).encode() + path.write_bytes(gzip.compress(data, mtime=0)) + + +def load(path, name): + spec = importlib.util.spec_from_file_location(name, path) + obj = importlib.util.module_from_spec(spec) + sys.modules[name] = obj + spec.loader.exec_module(obj) + return obj + + +def apply(v, rows, event, backward=False): + if event[0] == 'warp': + r = tuple(event[1]); rows[r] = v.warp(rows[r], event[2], backward) + elif event[0] == 'scalar': + g = event[1]; r = tuple(g[1]) + if g[0] == 'add': v.add(rows[r], rows[tuple(g[2])], Q(g[3], g[4])) + else: + need(g[0] == 'scale', 'No owned field in the clean-J baseline') + rows[r] = {k: Q(g[2], g[3])*x for k, x in rows[r].items()} + + +def index_sections(program): + phase = None; result = {'A': [], 'full_frame_cleanup': []} + for i, e in enumerate(program): + if e[0] == 'phase': phase = e[1] + if phase in result and e[0] in ('scalar', 'warp'): result[phase].append(i) + return result + + +def exact_candidate_screen(v, canonical, program, R): + """Test the final 48 assembly gates, with their actual scheduled inverses.""" + indices = index_sections(program) + need(len(indices['A']) == len(canonical['A']), 'Native A gate correspondence') + need(len(indices['full_frame_cleanup']) == len(canonical['cleanup']), 'Cleanup gate correspondence') + options = []; unmatched = [] + for j in range(len(canonical['A']) - 48, len(canonical['A'])): + g = canonical['A'][j] + need(g[0] == 'add' and len(canonical['frames'][g[-1]]) in (7, 8), 'Final centre-assembly grammar') + inverse = g[:]; inverse[3] *= -1; inverse[-1] = 1 + hits = [i for i, h in enumerate(canonical['cleanup']) if h == inverse] + if len(hits) == 1: + cj = hits[0] + options.append((j, cj, indices['A'][j], indices['full_frame_cleanup'][cj])) + else: unmatched.append({'A_index': j, 'gate': g, 'matching_inverse_occurrences': hits}) + sites = {k for option in options for k in option[2:]} + effects = {}; rows = {('L', i): v.identity(('L', i)) for i in range(632)} + for i, e in enumerate(program): + if i in sites: + g = e[1] + effects[i] = (tuple(g[1]), {k: -Q(g[3], g[4])*x for k, x in rows[tuple(g[2])].items()}) + apply(v, rows, e) + need(all(row == v.expected(r, R, False, True) for r, row in rows.items()), 'Pinned baseline endpoint') + accepted = []; rejected = [] + for aj, cj, ai, ci in options: + delta = {('L', i): {} for i in range(632)} + live_data_effect = False + for i in range(ai, len(program)): + if i in (ai, ci): + target, effect = effects[i]; v.add(delta[target], effect, Q(1)) + else: apply(v, delta, program[i]) + if i < indices['full_frame_cleanup'][0]: + e = program[i] + if e[0] == 'scalar' and e[1][0] in ('add', 'scale'): + r = tuple(e[1][1]) + if r[0] == 'L' and 112 <= r[1] < 224 and delta[r]: live_data_effect = True + bad = [(r, row) for r, row in delta.items() if row] + item = {'A_index': aj, 'cleanup_index': cj, 'A_gate': canonical['A'][aj], + 'cleanup_gate': canonical['cleanup'][cj], + 'native_scalar_sites': [ai, ci], 'Y_difference_before_cleanup': live_data_effect} + if not bad: + item['all_632_arbitrary_input_columns_exactly_preserved'] = True + accepted.append(item) + else: + r, row = bad[0]; key, value = next(iter(sorted(row.items()))) + item['first_exact_nonzero_residual'] = {'output': list(r), 'input': list(key[0]), + 'operator_word': list(key[1]), 'coefficient': str(value)} + item['changed_output_fields'] = len(bad) + rejected.append(item) + need(all(not a['Y_difference_before_cleanup'] for a in accepted), 'No changed data consumer before cleanup') + return accepted, rejected, unmatched + + +def prefix_growth(v, program, backward): + rows = {('L', i): v.identity(('L', i)) for i in range(632)} + maximum_l1 = Q(1); max_coefficient = Q(1); max_numerator = 1; max_denominator = 1 + witness = {'event': -1, 'register': ['L', 0]} + for i, event in enumerate(program): + apply(v, rows, event, backward) + if event[0] not in ('scalar', 'warp'): continue + role = tuple(event[1] if event[0] == 'warp' else event[1][1]) + values = [abs(x) for x in rows[role].values()] + norm = sum(values, Q(0)) + if norm > maximum_l1: + maximum_l1 = norm; witness = {'event': i, 'register': list(role)} + if values: + max_coefficient = max(max_coefficient, max(values)) + max_numerator = max(max_numerator, max(x.numerator for x in values)) + max_denominator = max(max_denominator, max(x.denominator for x in values)) + return {'max_formal_row_l1': str(maximum_l1), 'max_abs_coefficient': str(max_coefficient), + 'max_abs_numerator': max_numerator, 'max_denominator': max_denominator, + 'l1_witness': witness, 'independent_input_columns': 632, + 'scope': 'Exact logical scalar/monomial prefixes over arbitrary inputs; no rounded child error bound.'} + + +def monomial(ce, recipe, n): + result = ce.diag(n, tuple(recipe['quadratic_rows']), tuple(recipe['linear_Z4'])) + result = result.then(ce.perm(n, tuple(recipe['matrix_rows']))).then(ce.xgate(n, recipe['offset'])) + return result.then(ce.Op(n, ce.identity(n), [('phase', recipe['phase'])])) + + +def conjugate(ce, op): + n = op.n; result = ce.ident(n) + for g in op.circuit: + if g[0] == 'P': part = ce.perm(n, g[1]) + elif g[0] == 'X': part = ce.xgate(n, g[1]) + elif g[0] == 'C': part = ce.cgate(n, g[1], -g[2]) + elif g[0] == 'D': part = ce.diag(n, g[1], tuple(-x % 4 for x in g[2])) + else: + need(g[0] == 'phase', 'Known Clifford primitive') + part = ce.Op(n, ce.identity(n), [('phase', -g[1] % 4)]) + result = result.then(part) + return result + + +def check_new_edges(canonical, old_program, new_program, cache): + ce = load(CLIFFORD, 'function_composition_clifford') + old = {(e[3], e[4]) for e in old_program if e[0] == 'climb'} + new = {(e[3], e[4]) for e in new_program if e[0] == 'climb'} + reports = [] + for a, b in sorted(new - old): + A, B = canonical['frames'][a], canonical['frames'][b] + key = tuple(A), tuple(B) + if key not in cache: + source = ce.canonical_frame(9, A).adjoint().then(ce.canonical_frame(9, B)) + records = {} + for name, op in (('forward', source), ('inverse_transpose', conjugate(ce, source))): + recipe, _ = ce.lower_child(op) + need(recipe['rank'] == len(B)-len(A), 'Exact new physical child rank') + decoded = monomial(ce, recipe['right'], 9).then(ce.fourier(9, range(recipe['rank']))).then(monomial(ce, recipe['left'], 9)) + need(decoded.tab == op.tab and decoded.zero_state() == op.zero_state(), 'Decoded Clifford equality including global phase') + records[name] = recipe + cache[key] = records + reports.append({'old_frame': a, 'new_frame': b, 'old_basis': A, 'new_basis': B, + 'rank': len(B)-len(A), 'exact_physical_recipes': cache[key]}) + return reports + + +def main(): + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument('--out', type=Path, default=HERE/'pruned-native') + args = parser.parse_args(); args.out.mkdir(parents=True, exist_ok=True) + need(digest(CHECKER) == CHECKER_SHA, 'Frozen independent checker') + v = load(CHECKER, 'function_composition_independent'); v.authenticate() + base_receipt = read(BASE/'RESULT.json') + R = [{int(k): Q(x) for k, x in row.items()} for row in v.read(v.PACKET)['R_rows']] + providers = {}; phase_cache = {} + for tag in TAGS: + path = BASE/(tag+'-CANONICAL.json.gz') + need(digest(path) == base_receipt['providers'][tag]['artifacts'][path.name], 'Pinned baseline canonical') + old = read(path); old_native = v.emit_original(old) + yes, no, unmatched = exact_candidate_screen(v, old, old_native['forward'], R) + candidate = deepcopy(old) + a_drop = {r['A_index'] for r in yes}; c_drop = {r['cleanup_index'] for r in yes} + candidate['A'] = [g for i, g in enumerate(old['A']) if i not in a_drop] + candidate['cleanup'] = [g for i, g in enumerate(old['cleanup']) if i not in c_drop] + native = v.emit_original(candidate) + histogram = Counter(e[5] for e in native['forward'] if e[0] == 'climb') + candidate['local_profile'] = {str(r): n for r, n in sorted(histogram.items())} + candidate['edges'] = [list(e) for e in sorted({(e[3], e[4]) for e in native['forward'] if e[0] == 'climb'})] + checks = {} + for name in ('forward', 'backward'): + checks[name] = {'independent_literal_replay': v.replay(native[name], candidate, R, name == 'backward', True), + 'baseline_prefix_growth': prefix_growth(v, old_native[name], name == 'backward'), + 'new_prefix_growth': prefix_growth(v, native[name], name == 'backward')} + phases = check_new_edges(candidate, old_native['forward'], native['forward'], phase_cache) + # Removing the computation while retaining its inverse must be rejected. + negative = deepcopy(candidate) + first = yes[0] + negative['cleanup'].insert(0, first['cleanup_gate']) + bad_program = v.emit_original(negative) + rejected_control = False + try: v.replay(bad_program['forward'], negative, R, False, True) + except ValueError as error: + rejected_control = 'operator mismatch' in str(error) + need(rejected_control, 'Unpaired deletion negative control') + cp = args.out/(tag+'-CANONICAL.json.gz'); np = args.out/(tag+'-NATIVE-WORD.json.gz') + save(cp, candidate); save(np, native) + providers[tag] = {'baseline_canonical_sha256': digest(path), 'candidate_pairs_tested': len(yes)+len(no), + 'accepted_pairs': yes, 'rejected_pairs': no, 'unmatched_pairs': unmatched, + 'old_paid_profile': old['local_profile'], 'new_paid_profile': candidate['local_profile'], + 'old_paid_rank_mass': sum(int(r)*n for r, n in old['local_profile'].items()), + 'new_paid_rank_mass': sum(int(r)*n for r, n in candidate['local_profile'].items()), + 'recursive_calls_removed': sum(old['local_profile'].values())-sum(histogram.values()), + 'scalar_ADDs_removed': 2*len(yes), 'checks': checks, + 'new_physical_edges': phases, 'unpaired_deletion_negative_control_rejected': True, + 'artifacts': {cp.name: digest(cp), np.name: digest(np)}} + print('PASS pruned native', tag, len(yes), 'pairs;', dict(sorted(histogram.items())), flush=True) + result = {'schema': 'consumer-driven-clean-J-native-pruning/1', + 'status': 'PASS_ALL_FOUR_BOTH_DIRECTIONS_632_ARBITRARY_FIELDS', + 'generator_sha256': digest(Path(__file__)), 'baseline_receipt_sha256': digest(BASE/'RESULT.json'), + 'independent_interpreter_sha256': CHECKER_SHA, 'phase_compiler_path': str(CLIFFORD.relative_to(RESEARCH.parent)), + 'phase_compiler_sha256': digest(CLIFFORD), 'providers': providers, + 'native_word_new_children_phase_lowered': True, 'local_data_and_helper_endpoints_unchanged': True, + 'same_632_field_inventory': True, 'zero_owned_fields': True, 'zero_external_cleanup_fields': True, + 'no_new_kappa_claimed': True, 'query_producer_contract_preserved': False, + 'scope': 'Exact ideal clean-J local endpoints only. Final historical query assemblies are partially removed because this local word has no centre consumers. A caller that reads those historical queries cannot substitute this word without reconstructing and pricing its producer interface. The full caller and rounded induction remain open.'} + (args.out/'RESULT.json').write_text(json.dumps(result, indent=2, sort_keys=True)+'\n') + print(result['status'], flush=True) + + +if __name__ == '__main__': main() diff --git a/research/native-dual-suppliers/v/research/kappa-rebuild/complex/full-identity-certificates/THREE-base-FULL-IDENTITY-CANONICAL.json.gz b/research/native-dual-suppliers/v/research/kappa-rebuild/complex/full-identity-certificates/THREE-base-FULL-IDENTITY-CANONICAL.json.gz new file mode 100644 index 0000000000000000000000000000000000000000..4a8c4ed26e53a72362d571c972e65aff546be784 GIT binary patch literal 82793 zcmZs>1yG!Au&s*^?(Xi+5C}mBcbDL90fGnj;2KQvfnR%zrOA@`o6RZz0I8cZU>cD z*}v)eK0O*TxHF^0;KWv8`}u$Ua=X|>j4KME1*>(Z6-joy{`S1!`*1QhQ`W2b`zVDl z$M^N=x38%^U0V;6_VXUv*0)s*1((Hh^}|+nSG*U0N#8h_s*$-p1^;^gdp)8cRa-a& zvohq}0^_sc6>;D5*3C=39P_aCQhU04&{r2fw=Q1pzThgA^>4q_(sMVG489>$v<$Bx 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zG05Z{O@=1A6e-fb>BTS%Ld%c1nLf&-5;=1fC&_#)5@Hu_v32kjGQ z<~-696!?Xc`E9L*cEi>8MHfT+YjkGo95;4t;13t(pNW^`f;gE(j>$n=ok$DJ=_Xtal9}a{Kh}gd*@OsJ>w1KyE$&dUrgKmvqrc-ixH*kzfbdCDmTY zeEW9|5K&F(6CZs-;Ua2So)}5pn*T19uDh&s?&v}7pFIV%i}a7;|E~C5a5i5{B!F52 z^YN^X&8uTHz#55JA&J*aAy>p3Y#18E;U1hc;tK$0wiPUWK~>!v>#$^Un|&`Ha=*7N*SU1J`or!1-_?(Dt@}F?1zGo)nN|kC F{{d=+q^JM@ literal 0 HcmV?d00001 diff --git a/research/native-dual-suppliers/v/research/kappa-rebuild/complex/native_extensions.py b/research/native-dual-suppliers/v/research/kappa-rebuild/complex/native_extensions.py new file mode 100644 index 0000000000..7f84894efc --- /dev/null +++ b/research/native-dual-suppliers/v/research/kappa-rebuild/complex/native_extensions.py @@ -0,0 +1,233 @@ +#!/usr/bin/env python3 +"""Native embedded query logger and common-frame H conjugation contacts. + +Apache-2.0. Substantial OpenAI assistance. These are fresh constructions with +explicit arbitrary-input endpoints. An embedded cache output is not claimed +as an independent clean helper output until a whole caller erases its defect. +""" +from collections import Counter +from fractions import Fraction as Q +from pathlib import Path +import argparse +import sys + +sys.dont_write_bytecode = True +HERE = Path(__file__).resolve().parent +sys.path.insert(0, str(HERE)) +import rebuild_native as N +import power_two_balance as B + +B_SHA = '76929bb3887911ccf100c4593574b8a1c82ee64e96f939a8aca196869438b424' + + +def common_frame_h(geo, offset, frame): + """H = diag(I,-I) S_L S_-K S_L, with all shear ADDs having coefficient ±1. + + Balancing only the eight selected coordinates avoids scaling104 ordinary + coordinates. No private field and no recursive transport are introduced. + Precondition: ALL112 physical fields share the stated actual frame gauge. + """ + A = geo['selected'] + out = [['phase', 'fresh_common_frame_H']] + def scale(n, d): + out.extend(N.scalar(['scale', ['L', offset+a], n, d], frame) for a in A) + def left(): + for k, a in enumerate(A): + for u, value in sorted(geo['L'][k].items()): + coefficient = 2*value + N.need(abs(coefficient) == 1, 'Balanced unit L coefficients') + out.append(N.scalar(['add', ['L', offset+a], ['L', offset+u], int(coefficient), 1], frame)) + scale(2, 1); left(); scale(1, 4) + for k, a in enumerate(A): + for u, value in sorted(geo['L'][k].items()): + coefficient = -2*value + out.append(N.scalar(['add', ['L', offset+u], ['L', offset+a], int(coefficient), 1], frame)) + scale(4, 1); left(); scale(-1, 2) + N.need(B.scalar_sum(out) == 10096, 'Exact common-frame H scalar allowance') + return out + + +def embedded_cache_roles(canonical): + roles = [i for i in range(224, 632) if canonical['start'][i] == 0 and canonical['final'][i] == 1] + N.need(len(roles) == 213, '213 genuinely cold, full-ended native helper roles') + return roles[:8] + + +def embedded_logger_suffix(canonical, geo, roles=None): + roles = embedded_cache_roles(canonical) if roles is None else list(roles) + N.need(len(roles) == len(set(roles)) == 8, 'Eight distinct embedded caches') + N.need(all(224 <= i < 632 and canonical['start'][i] == 0 and canonical['final'][i] == 1 for i in roles), + 'Embedded logger only uses cold full-ended physical helper references') + out = [['phase', 'fresh_embedded_dirty_logger']] + for k, a in enumerate(geo['selected']): + r = roles[k] + out += [N.scalar(['scale', ['L', r], 2, 1], 1), + N.scalar(['add', ['L', r], ['L', a], 2, 1], 1)] + out += [N.scalar(['add', ['L', r], ['L', u], int(2*q), 1], 1) + for u, q in sorted(geo['L'][k].items())] + out.append(N.scalar(['scale', ['L', r], 1, 2], 1)) + N.need(B.scalar_sum(out) == 3440, 'Embedded logger exact scalar bill') + return out + + +def make_embedded_logger(canonical, base_word, geo): + word = B.make_balanced_h(canonical, base_word, geo)['forward'] + return word+embedded_logger_suffix(canonical, geo) + + +def make_wrapped_h(canonical, base_word, geo): + words = B.make_balanced_h(canonical, base_word, geo) + return {direction: common_frame_h(geo, 112, 0)+word+common_frame_h(geo, 0, 1) + for direction, word in words.items()} + + +def literal_replay(v, c, program, backward=False): + """Second literal evaluator for new endpoints; all632 inputs arbitrary. + + This checker has no endpoint-specific shortcut. It applies every scalar + and free-warp event and checks each contact's frame before comparing rows. + """ + rows = {('L', i): v.identity(('L', i)) for i in range(632)} + rows['C', 0] = v.identity(('C', 0)) + current = {('L', i): f for i, f in enumerate(c['start'])}; current['C', 0] = None + spaces = [v.span(frame) for frame in c['frames']] + profile = Counter(); cost = 0; max_l1 = Q(1); witness = None; max_denominator = 1 + for j, event in enumerate(program): + kind = event[0]; touched = None + if kind == 'scalar': + g, frame = event[1:]; target = tuple(g[1]); touched = target + cost += N.primitive_allowance(g) + if g[0] == 'clear': + N.need(target == ('C', 0), 'Only owned C0 can be cleared') + rows[target] = {}; current[target] = frame + else: + N.need(current[target] == frame, 'Exact scalar target frame') + if g[0] in ('add', 'copy'): + source = tuple(g[2]); N.need(current[source] == frame, 'Exact scalar source frame') + if g[0] == 'copy': + N.need(target == ('C', 0), 'Only owned field overwritten by copy') + rows[target] = dict(rows[source]) + else: + N.need(target != source, 'Distinct reversible ADD arguments') + v.add(rows[target], rows[source], Q(g[3], g[4])) + else: + N.need(g[0] == 'scale', 'Known scalar action') + q = Q(g[2], g[3]); rows[target] = {i: q*x for i, x in rows[target].items()} + elif kind == 'warp': + _, r, op, old, new = event; target = tuple(r); touched = target + N.need(current[target] == old, 'Warp input frame') + rows[target] = v.warp(rows[target], op, backward); current[target] = new + elif kind in ('climb', 'center'): + if kind == 'climb': + _, part, i, old, new, rank = event; target = ('L', i) + N.need(spaces[old] < spaces[new], 'Ascending borrowed climb') + else: + _, i, old, new, rank = event; target = ('C', i) + N.need(spaces[old] < spaces[new] or spaces[new] < spaces[old], 'Nested center transport') + N.need(current[target] == old and rank == abs(len(c['frames'][new])-len(c['frames'][old])), 'Paid rank and source frame') + current[target] = new; profile[rank] += 1 + else: + N.need(kind in ('phase', 'adapter', 'residual_adapter'), 'Known inert native marker') + if touched is not None: + norm = sum(map(abs, rows[touched].values()), Q(0)) + if norm > max_l1: + max_l1 = norm; witness = dict(event=j, role=list(touched)) + max_denominator = max(max_denominator, max((x.denominator for x in rows[touched].values()), default=1)) + N.need([current['L', i] for i in range(632)] == c['final'], 'Final native frames') + N.need(not rows['C', 0], 'Owned C0 cleared at return') + return rows, dict(independent_persistent_columns=632, independent_owned_entry_columns=1, + scalar_frames_checked=True, arbitrary_owned_C0_cleared=True, + paid_profile=dict(sorted(profile.items())), paid_rank_mass=sum(k*x for k, x in profile.items()), + real_scalar_allowance=cost, max_formal_prefix_l1=str(max_l1), max_denominator=max_denominator, + l1_witness=witness) + + +def check_rows(v, rows, geo, kind, backward=False, cache_roles=()): + mismatch = [] + for r in range(632): + actual = rows['L', r] + if kind == 'wrapped' and r < 224: + port = r % 112; wanted = {} + for j, q in geo['H'][port].items(): + v.add(wanted, v.identity(('L', (112 if r >= 112 else 0)+j)), q) + if backward and r < 112: + v.add(wanted, v.identity(('L', 112+j)), -q) + if not backward and r >= 112: + v.add(wanted, v.identity(('L', j)), q) + else: + wanted = v.identity(('L', r)) + if 112 <= r < 224: + for j, q in geo['H'][r-112].items(): + v.add(wanted, v.identity(('L', j)), q) + if r in cache_roles: + k = list(cache_roles).index(r) + for j, q in {geo['selected'][k]: Q(1), **geo['L'][k]}.items(): + v.add(wanted, v.identity(('L', j)), q) + if actual != wanted: + mismatch.append(r) + N.need(not mismatch, 'Fresh exact endpoint mismatch '+repr(mismatch[:5])) + + +def check_scalar_h(v, geo): + """Independent112-column execution without native body or Clifford data.""" + rows = {i: {i: Q(1)} for i in range(112)} + program = common_frame_h(geo, 0, 0) + for event in program: + if event[0] != 'scalar': + continue + g = event[1]; target = g[1][1] + if g[0] == 'scale': + q = Q(g[2], g[3]); rows[target] = {i: q*x for i, x in rows[target].items()} + else: + v.add(rows[target], rows[g[2][1]], Q(g[3], g[4])) + N.need(all(rows[i] == geo['H'][i] for i in range(112)), 'Three balanced shears exactly equal H') + return dict(all_columns=112, real_scalar_allowance=B.scalar_sum(program), + additions=sum(e[0] == 'scalar' and e[1][0] == 'add' for e in program), + unit_add_coefficients=True, owned_fields=0, new_recursive_children=0, + required_physical_precondition='All112 fields occupy one actual common frame reference.') + + +def main(): + ap = argparse.ArgumentParser(description=__doc__) + ap.add_argument('--out', type=Path, default=HERE/'extension-certificates') + args = ap.parse_args(); args.out.mkdir(parents=True, exist_ok=True) + N.need(N.digest(HERE/'rebuild_native.py') == B.N_SHA and N.digest(HERE/'power_two_balance.py') == B_SHA, + 'Authenticated fresh prerequisite sources') + p, v, ce, receipt, inherited = N.authenticated(); geo = N.geometry(v.PACKET) + result = dict(schema='fresh-native-helper-log-and-common-frame-conjugation/1', + source_sha256=N.digest(Path(__file__)), reconstruction_source_sha256=B.N_SHA, + balance_source_sha256=B_SHA, scalar_H=check_scalar_h(v, geo), providers={}, no_new_kappa_claimed=True) + for tag in N.TAGS: + c = N.read(N.BASE/(tag+'-CANONICAL.json.gz')); word = N.read(N.BASE/(tag+'-NATIVE-WORD.json.gz')) + base_scalar = B.scalar_sum(word['forward']) + roles = embedded_cache_roles(c); embedded = make_embedded_logger(c, word, geo) + rows, embedded_check = literal_replay(v, c, embedded) + check_rows(v, rows, geo, 'embedded', cache_roles=roles) + N.need(embedded_check['real_scalar_allowance'] == base_scalar+3504+3440, 'Embedded complete scalar invoice') + wrapped = make_wrapped_h(c, word, geo); wrapped_checks = {} + for direction, program in wrapped.items(): + back = direction == 'backward' + rows, checked = literal_replay(v, c, program, back) + check_rows(v, rows, geo, 'wrapped', back) + N.need(checked['real_scalar_allowance'] == base_scalar+3504+2*10096, 'Wrapped H complete scalar invoice') + wrapped_checks[direction] = checked + ep = args.out/(tag+'-EMBEDDED-LOGGER.json.gz'); wp = args.out/(tag+'-SCALAR-WRAPPED-H.json.gz') + result['providers'][tag] = dict( + embedded_logger=dict(artifact=ep.name, sha256=N.save(ep, embedded), check=embedded_check, + cache_roles=roles, exactly_400_other_helpers_restored=True, + cache_output='d_k + X_A[k] + L[k] X_U', extra_children=0, + extra_persistent_fields=0, extra_owned_fields=0, extra_scalar_allowance=3440, + independent_clean_output_credit_for_eight_caches=False), + scalar_wrapped_H=dict(artifact=wp.name, sha256=N.save(wp, wrapped), checks=wrapped_checks, + endpoint='diag(H,H) times the corresponding identity shear in local logical coordinates', + new_recursive_children_beyond_H=0, extra_scalar_allowance=20192, + all_408_helpers_restored=True, + outer_intercall_frame_identification_certified=False)) + N.save(args.out/'RESULT.json', result) + print('PASS extensions', tag, 'embedded0 extra children; wrapped H20192 extra scalars', flush=True) + result['status'] = 'PASS_LOCAL_NATIVE_ENDPOINTS_WITH_EXPLICIT_OUTER_FRAME_OBLIGATION' + N.save(args.out/'RESULT.json', result) + + +if __name__ == '__main__': + main() diff --git a/research/native-dual-suppliers/v/research/kappa-rebuild/complex/power_two_balance.py b/research/native-dual-suppliers/v/research/kappa-rebuild/complex/power_two_balance.py new file mode 100644 index 0000000000..a55ae0ce78 --- /dev/null +++ b/research/native-dual-suppliers/v/research/kappa-rebuild/complex/power_two_balance.py @@ -0,0 +1,130 @@ +#!/usr/bin/env python3 +"""Exact power-of-two balancing of the reconstructed H112 and dirty logger. + +Apache-2.0. Substantial OpenAI assistance. This changes only explicit local +coefficient streams and dyadic unit scales; every recursive child is retained. +The exact arbitrary-input verifier and endpoint-gauge phase receipts are reused +from the separately source-bound reconstruction in rebuild_native.py. +""" +from collections import Counter +from copy import deepcopy +from pathlib import Path +import argparse +import json +import sys + +sys.dont_write_bytecode = True +HERE = Path(__file__).resolve().parent +sys.path.insert(0, str(HERE)) +import rebuild_native as N + +N_SHA = 'f94c527cc02215de49350d477618188c4c0da48bc8fb05b4e37b24c482cad7d5' + + +def make_balanced_h(c, word, geo, exponent=1): + """Assemble 2^e v, transport it, deliver 12/2^e times that field.""" + N.need(isinstance(exponent, int) and -8 <= exponent <= 8, 'Bounded integral balancing exponent') + q = N.Q(2)**exponent + result = N.make_h_word(c, word, geo) + for direction, program in result.items(): + out = []; completion = False + for event in program: + if event[0] == 'phase': + completion = event[1] == 'fresh_H112_completion' + if not completion or event[0] != 'scalar': + out.append(event); continue + op, frame = event[1:] + if op[0] == 'copy' and op[1] == ['C', 0]: + out.append(event) + if q != 1: + out.append(N.scalar(['scale', ['C', 0], q.numerator, q.denominator], frame)) + elif op[0] == 'add': + factor = q if op[1] == ['C', 0] else 1/q + amount = N.Q(op[3], op[4])*factor + out.append(N.scalar(op[:3]+[amount.numerator, amount.denominator], frame)) + else: + out.append(event) + result[direction] = out + return result + + +def make_balanced_logger(c, word, geo, exponent=1): + """Scale arbitrary P by 2^e, add 2^e v, scale back; dirty P is preserved.""" + N.need(isinstance(exponent, int) and -8 <= exponent <= 8, 'Bounded integral balancing exponent') + q = N.Q(2)**exponent + suffix = [['phase', 'fresh_balanced_forward_dirty_logger']] + for k, a in enumerate(geo['selected']): + suffix.append(['cache_child', k, 0, 1, 9]) + if q != 1: + suffix.append(N.scalar(['scale', ['P', k], q.numerator, q.denominator], 1)) + suffix.append(N.scalar(['add', ['P', k], ['L', a], q.numerator, q.denominator], 1)) + for p, coefficient in sorted(geo['L'][k].items()): + x = q*coefficient + suffix.append(N.scalar(['add', ['P', k], ['L', p], x.numerator, x.denominator], 1)) + if q != 1: + suffix.append(N.scalar(['scale', ['P', k], q.denominator, q.numerator], 1)) + return word['forward']+suffix + + +def scalar_sum(program): + return sum(N.primitive_allowance(e[1]) for e in program if e[0] == 'scalar') + + +def main(): + ap = argparse.ArgumentParser(description=__doc__) + ap.add_argument('--out', type=Path, default=HERE/'balanced-certificates') + args = ap.parse_args(); args.out.mkdir(parents=True, exist_ok=True) + N.need(N.digest(HERE/'rebuild_native.py') == N_SHA, 'Pinned fresh reconstruction source') + p, v, ce, receipt, inherited = N.authenticated(); geo = N.geometry(v.PACKET) + result = dict(schema='fresh-native-power-two-balancing/1', source_sha256=N.digest(Path(__file__)), + reconstruction_source_sha256=N_SHA, no_new_kappa_claimed=True, providers={}, + scope='Finite native all-column and phase certificates; full outer recurrence and rounded induction remain separate.') + for tag in N.TAGS: + c = N.read(N.BASE/(tag+'-CANONICAL.json.gz')); word = N.read(N.BASE/(tag+'-NATIVE-WORD.json.gz')) + base_scalar = scalar_sum(word['forward']) + scan = [] + for exponent in range(-4, 5): + hw = make_balanced_h(c, word, geo, exponent) + lw = make_balanced_logger(c, word, geo, exponent) + scan.append(dict(exponent=exponent, H_increment=scalar_sum(hw['forward'])-base_scalar, + logger_increment=scalar_sum(lw)-base_scalar)) + N.need(min(scan, key=lambda r: r['H_increment'])['exponent'] == 1, 'H minimum in scanned power-two family') + N.need(min(scan, key=lambda r: r['logger_increment'])['exponent'] == 1, 'Logger minimum in scanned power-two family') + hw = make_balanced_h(c, word, geo) + hp = Counter({int(k): n for k, n in c['local_profile'].items()}); hp[1] += 8 + checks = {d: N.replay_extended(v, hw[d], c, geo, d == 'backward', expected_profile=hp) + for d in ('forward', 'backward')} + N.need(all(check['real_scalar_allowance']-base_scalar == 3504 for check in checks.values()), 'H increment3504') + phases = N.h_child_recipes(p, ce, c, hw) + lw = make_balanced_logger(c, word, geo) + lp = Counter({int(k): n for k, n in c['local_profile'].items()}); lp[9] += 8 + logger_check = N.replay_extended(v, lw, c, geo, endpoint='logger', cache_count=8, expected_profile=lp) + N.need(logger_check['real_scalar_allowance']-base_scalar == 3440, 'Logger increment3440') + wrong = deepcopy(lw) + omitted = next(i for i, e in enumerate(wrong) if e[0] == 'scalar' and e[1] == ['scale', ['P', 0], 1, 2]) + wrong.pop(omitted) + control = N.replay_extended(v, wrong, c, geo, endpoint='logger', cache_count=8, allow_mismatch=True) + dirty_gain = N.Q(1) + for event in wrong: + if event[0] == 'scalar' and event[1][:2] == ['scale', ['P', 0]]: + dirty_gain *= N.Q(event[1][2], event[1][3]) + N.need(not control['exact_endpoint'] and dirty_gain == 2 and + any(x['role'] == ['P', 0] for x in control['mismatch_examples']), + 'Missing final dirty-cache rescale exposes arbitrary P coefficient error') + hpfile = args.out/(tag+'-BALANCED-H112-NATIVE.json.gz') + lpfile = args.out/(tag+'-BALANCED-FORWARD-LOGGER.json.gz') + result['providers'][tag] = dict(power_two_scan=scan, + H=dict(artifact=hpfile.name, sha256=N.save(hpfile, hw), checks=checks, new_child_recipes=phases, + increment=dict(profile={'1': 8}, real_scalar_allowance=3504, owned_C_fields=1), saved_scalar_allowance=832), + logger=dict(artifact=lpfile.name, sha256=N.save(lpfile, lw), check=logger_check, + increment=dict(profile={'9': 8}, real_scalar_allowance=3440, arbitrary_P_fields=8), saved_scalar_allowance=784, + missing_final_rescale_negative_control=dict(dirty_P0_coefficient=str(dirty_gain), + mismatches=control['mismatch_examples']))) + N.save(args.out/'RESULT.json', result) + print('PASS balanced', tag, 'H8H1+3504; logger8H9+3440', flush=True) + result['status'] = 'PASS_BALANCED_H_BOTH_DIRECTIONS_AND_FORWARD_LOGGER_ALL_FOUR_PROVIDERS' + N.save(args.out/'RESULT.json', result) + + +if __name__ == '__main__': + main() diff --git a/research/native-dual-suppliers/v/research/kappa-rebuild/complex/rebuild_native.py b/research/native-dual-suppliers/v/research/kappa-rebuild/complex/rebuild_native.py new file mode 100644 index 0000000000..78a7b1b0e6 --- /dev/null +++ b/research/native-dual-suppliers/v/research/kappa-rebuild/complex/rebuild_native.py @@ -0,0 +1,453 @@ +#!/usr/bin/env python3 +"""Fresh reconstruction of H112, its dirty logger and helper boundary factors. + +Apache-2.0. Substantial OpenAI assistance. This is newly generated evidence; +it does not recreate or assert the identity of files lost in an earlier session. +The immutable predecessor is the attributed function-composition clean-J word. +Logical sparse replay extends the independently pinned verify_buffers grammar. +Physical lowering uses the attributed exact Clifford compiler and independently +decodes each new recipe, comparing tableau AND the exact zero-state phase. +""" +from collections import Counter +from copy import deepcopy +from fractions import Fraction as Q +from hashlib import sha256 +from pathlib import Path +import argparse +import gzip +import importlib.util +import json +import platform +import sys +import time + +sys.dont_write_bytecode = True +HERE = Path(__file__).resolve().parent +ROOT = HERE.parents[2] +P_PATH = ROOT/'research/kappa-function-composition/complex/prune_native.py' +BASE = P_PATH.parent/'pruned-native' +P_SHA = 'f2b37c183a10922eabc8e0436b426a08866430e96bd0adc7e178951c7fbb5257' +RECEIPT_SHA = 'b62c6c123f43a697802a336ee7178942040c0249c64ebc19cd6aad7ba2728ae7' +CE_SHA = '2982ead07721e83358dc67c6f49c2b4c16a236a6bebdfd72f58221be1f5d0962' +TAGS = ('THREE-base', 'THREE-extra', 'FOUR-base', 'FOUR-extra') +SELECTED = (0, 7, 20, 27, 36, 46, 57, 111) + + +def need(ok, why): + if not ok: + raise ValueError(why) + + +def digest(path): + return sha256(Path(path).read_bytes()).hexdigest() + + +def read(path): + path = Path(path) + raw = path.read_bytes() + return json.loads(gzip.decompress(raw) if path.suffix == '.gz' else raw) + + +def save(path, value): + path = Path(path) + data = json.dumps(value, sort_keys=True, separators=(',', ':')).encode() + path.write_bytes(gzip.compress(data, mtime=0) if path.suffix == '.gz' else data+b'\n') + return digest(path) + + +def load(path, name): + spec = importlib.util.spec_from_file_location(name, path) + obj = importlib.util.module_from_spec(spec) + sys.modules[name] = obj + spec.loader.exec_module(obj) + return obj + + +def authenticated(): + need(digest(P_PATH) == P_SHA, 'Pinned clean-J reconstruction utility') + need(digest(BASE/'RESULT.json') == RECEIPT_SHA, 'Pinned clean-J receipt') + p = load(P_PATH, 'fresh_h112_prune') + need(digest(p.CHECKER) == p.CHECKER_SHA, 'Pinned independent native interpreter') + need(digest(p.CLIFFORD) == CE_SHA, 'Pinned phase compiler') + v = load(p.CHECKER, 'fresh_h112_independent') + inherited = v.authenticate() + ce = load(p.CLIFFORD, 'fresh_h112_clifford') + receipt = read(BASE/'RESULT.json') + for tag in TAGS: + for filename, expected in receipt['providers'][tag]['artifacts'].items(): + need(digest(BASE/filename) == expected, 'Pinned predecessor artifact '+filename) + return p, v, ce, receipt, inherited + + +def geometry(packet): + """Return exact sparse R, L and the freshly checked 112 by 112 H.""" + packet = read(packet) if isinstance(packet, (str, Path)) else packet + R = [{int(k): Q(x) for k, x in row.items()} for row in packet['R_rows']] + ordinary = tuple(i for i in range(112) if i not in SELECTED) + need(len(R) == 8, 'Eight query rows') + dot = lambda a, b: sum((x*b.get(j, Q(0)) for j, x in a.items()), Q(0)) + need(all(dot(a, b) == 56*int(i == j) for i, a in enumerate(R) for j, b in enumerate(R)), 'R R^t = 56 I') + need(all(sum((r.get(a, 0)*r.get(b, 0) for r in R), Q(0)) == 4*int(a == b) + for a in SELECTED for b in SELECTED), 'Selected Gram matrix 4 I') + L = [{p: q for p in ordinary if (q := sum((r.get(a, 0)*r.get(p, 0) for r in R), Q(0))/4)} + for a in SELECTED] + need(all(len(row) == 52 and set(map(abs, row.values())) == {Q(1, 2)} for row in L), '416 half-integral L entries') + need(all(dot(a, b) == 13*int(i == j) for i, a in enumerate(L) for j, b in enumerate(L)), 'L L^t = 13 I') + J = [] + H = [] + for i in range(112): + row = {j: q for j in range(112) + if (q := Q(i == j)-sum((r.get(i, 0)*r.get(j, 0) for r in R), Q(0))/4)} + J.append(row) + changed = dict(row) + if i in SELECTED: + k = SELECTED.index(i) + for j, x in {i: Q(1), **L[k]}.items(): + changed[j] = changed.get(j, Q(0))+12*x + if not changed[j]: + del changed[j] + H.append(changed) + need(all(sum((x*H[k].get(j, 0) for k, x in H[i].items()), Q(0)) == int(i == j) + for i in range(112) for j in range(112)), 'Exact H squared equals identity') + need(any(H[i].get(j, 0) != H[j].get(i, 0) for i in range(112) for j in range(112)), 'H is not symmetric') + return dict(selected=SELECTED, ordinary=ordinary, R=R, L=L, J=J, H=H) + + +def kernel_h(packet): + return geometry(packet)['H'] + + +def scalar(op, frame): + return ['scalar', op, frame] + + +def make_h_word(canonical, base_word, geo): + """Forward suffix and separate backward prefix; H is NOT self-transpose.""" + out = deepcopy(base_word) + for backward in (False, True): + correction = [['phase', 'fresh_H112_completion']] + common = 0 if backward else 1 + source_offset = 112 if backward else 0 + target_offset = 0 if backward else 112 + for k, a in enumerate(geo['selected']): + target_frame = canonical['start'][a] if backward else canonical['final'][112+a] + correction += [scalar(['clear', ['C', 0]], common), + scalar(['copy', ['C', 0], ['L', source_offset+a]], common)] + correction += [scalar(['add', ['C', 0], ['L', source_offset+p], q.numerator, q.denominator], common) + for p, q in sorted(geo['L'][k].items())] + correction += [['center', 0, common, target_frame, 1], + scalar(['add', ['L', target_offset+a], ['C', 0], -12 if backward else 12, 1], target_frame), + scalar(['clear', ['C', 0]], target_frame)] + name = 'backward' if backward else 'forward' + out[name] = correction+out[name] if backward else out[name]+correction + return out + + +def make_logger_word(canonical, base_word, geo): + """Eight arbitrary cache fields; the caller owns their dirty baselines.""" + suffix = [['phase', 'fresh_forward_dirty_query_logger']] + for k, a in enumerate(geo['selected']): + suffix += [['cache_child', k, 0, 1, 9], scalar(['add', ['P', k], ['L', a], 1, 1], 1)] + suffix += [scalar(['add', ['P', k], ['L', p], q.numerator, q.denominator], 1) + for p, q in sorted(geo['L'][k].items())] + return base_word['forward']+suffix + + +def primitive_allowance(op): + if op[0] in ('clear', 'copy'): + return 2 + q = Q(op[3], op[4]) if op[0] == 'add' else Q(op[2], op[3]) + n, d = abs(q.numerator), q.denominator + need(n and not d & (d-1), 'Nonzero dyadic scalar') + if op[0] == 'scale': + need(not n & (n-1), 'Dyadic unit SCALE') + return 2*(abs(n.bit_length()-d.bit_length())+int(q < 0)) + need(op[0] == 'add', 'Known scalar macro') + return 2*(3+n.bit_length()-1+n.bit_count()+d.bit_length()-1) + + +def replay_extended(v, program, canonical, geo, backward=False, endpoint='H', cache_count=0, + expected_profile=None, allow_mismatch=False): + """Literal exact all-column native replay, including arbitrary C at entry. + + Transports change canonical coordinate tags and retain logical row values; + separate phase receipts implement the exact physical coordinate change. + Warp words remain free noncommuting symbols, including dual orientation. + """ + need(endpoint in ('H', 'J', 'logger'), 'Known endpoint') + n = len(canonical['start']) + need(n == 632, '632 persistent predecessor roles') + rows = {('L', i): v.identity(('L', i)) for i in range(n)} + current = {('L', i): f for i, f in enumerate(canonical['start'])} + centers = {e[1] for e in program if e[0] == 'center'} + centers |= {r[1] for e in program if e[0] == 'scalar' + for r in (e[1][1:3] if e[1][0] in ('add', 'copy') else e[1][1:2]) + if r[0] == 'C'} + need(centers <= {0}, 'Only one owned completion field') + for i in centers: + rows['C', i] = v.identity(('C', i)); current['C', i] = None + for i in range(cache_count): + rows['P', i] = v.identity(('P', i)); current['P', i] = 0 + spaces = [v.span(vectors) for vectors in canonical['frames']] + dimensions = [len(s).bit_length()-1 for s in spaces] + profile = Counter(); counts = Counter(); scalar_cost = 0 + max_l1 = Q(1); max_coefficient = Q(1); max_numerator = 1; max_denominator = 1 + witness = {'event': -1, 'role': ['L', 0]} + for i, e in enumerate(program): + kind = e[0]; counts[kind] += 1; touched = None + if kind in ('climb', 'center', 'cache_child'): + if kind == 'climb': + _, part, j, old, new, rank = e; role = ('L', j) + need(spaces[old] < spaces[new], 'Strict ascending borrowed climb') + else: + _, j, old, new, rank = e + role = ('C' if kind == 'center' else 'P', j) + need(spaces[old] < spaces[new] or spaces[new] < spaces[old], 'Nested transport') + need(current[role] == old and rank == abs(dimensions[new]-dimensions[old]), 'Transport frame and exact rank') + current[role] = new; profile[rank] += 1 + elif kind == 'warp': + _, r, op, old, new = e; role = tuple(r) + need(current[role] == old, 'Warp source frame') + rows[role] = v.warp(rows[role], op, backward); current[role] = new; touched = role + elif kind == 'scalar': + op, frame = e[1:]; role = tuple(op[1]); touched = role + scalar_cost += primitive_allowance(op) + if op[0] == 'clear': + need(role[0] == 'C', 'No clearing arbitrary persistent inputs') + rows[role] = {}; current[role] = frame + else: + need(current[role] == frame, 'Scalar target frame at event '+str(i)) + if op[0] in ('add', 'copy'): + source = tuple(op[2]); need(current[source] == frame, 'Scalar source frame at event '+str(i)) + if op[0] == 'copy': + need(role[0] == 'C', 'Copy targets owned field') + rows[role] = dict(rows[source]) + else: + need(role != source, 'Reversible ADD distinct registers') + v.add(rows[role], rows[source], Q(op[3], op[4])) + else: + q = Q(op[2], op[3]); rows[role] = {k: q*x for k, x in rows[role].items()} + else: + need(kind in ('phase', 'adapter', 'residual_adapter'), 'Unsupported event '+kind) + if touched is not None: + values = [abs(x) for x in rows[touched].values()] + norm = sum(values, Q(0)) + if norm > max_l1: + max_l1 = norm; witness = {'event': i, 'role': list(touched)} + if values: + max_coefficient = max(max_coefficient, max(values)) + max_numerator = max(max_numerator, max(x.numerator for x in values)) + max_denominator = max(max_denominator, max(x.denominator for x in values)) + need([current['L', i] for i in range(n)] == canonical['final'], 'Exact final native frames') + need(all(current['P', i] == 1 for i in range(cache_count)), 'Logger cache terminal frame') + if expected_profile is not None: + need(dict(profile) == {int(k): x for k, x in expected_profile.items()}, 'Complete profile binding') + mismatch = [] + matrix = geo['H'] if endpoint == 'H' else geo['J'] + for role, actual in rows.items(): + wanted = {} if role[0] == 'C' else v.identity(role) + if role[0] == 'L': + port = role[1] if backward else role[1]-112 + if 0 <= port < 112: + offset, sign = (112, -1) if backward else (0, 1) + for j, q in matrix[port].items(): + v.add(wanted, v.identity(('L', offset+j)), sign*q) + elif role[0] == 'P': + need(endpoint == 'logger' and not backward, 'Only forward logger cache contract') + k = role[1] + for j, q in {geo['selected'][k]: Q(1), **geo['L'][k]}.items(): + v.add(wanted, v.identity(('L', j)), q) + if actual != wanted: + differences = {k: actual.get(k, Q(0))-wanted.get(k, Q(0)) for k in actual.keys() | wanted.keys()} + differences = {k: x for k, x in differences.items() if x} + first = min(differences) + mismatch.append({'role': list(role), 'unequal_coefficients': len(differences), + 'first_input': list(first[0]), 'first_word': list(first[1]), + 'first_coefficient': str(differences[first])}) + if not allow_mismatch: + need(not mismatch, 'Endpoint mismatch: '+repr(mismatch[:3])) + return dict(direction='backward' if backward else 'forward', endpoint=endpoint, + independent_persistent_input_fields=n+cache_count, + independently_initialized_owned_C_fields=len(centers), owned_C_fields_zero_at_exit=all(not rows['C', i] for i in centers), + all_408_helpers_exactly_restored_in_logical_coordinates=all(rows['L', i] == v.identity(('L', i)) for i in range(224, 632)), + all_scalar_frames_checked=True, all_new_coefficients_dyadic=True, + event_counts=dict(counts), paid_profile=dict(sorted(profile.items())), + paid_rank_mass=sum(k*x for k, x in profile.items()), real_scalar_allowance=scalar_cost, + prefix=dict(max_formal_row_l1=str(max_l1), max_abs_coefficient=str(max_coefficient), + max_abs_numerator=max_numerator, max_denominator=max_denominator, l1_witness=witness, + scope='Exact logical ideal prefixes; no rounded recursive error bound.'), + exact_endpoint=not mismatch, mismatch_examples=mismatch[:3]) + + +def lower_exact(p, ce, op): + recipe, _ = ce.lower_child(op) + left = p.monomial(ce, recipe['left'], op.n) + if recipe['rank']: + right = p.monomial(ce, recipe['right'], op.n) + decoded = right.then(ce.fourier(op.n, range(recipe['rank']))).then(left) + else: + decoded = left + need(decoded.tab == op.tab and decoded.zero_state() == op.zero_state(), 'Independent recipe decode including absolute phase') + return recipe + + +def normal_form(p, ce, op, rank): + recipe = lower_exact(p, ce, op) + need(recipe['rank'] == rank, 'Physical rank equals promised helper width') + left = p.monomial(ce, recipe['left'], 9) + right = p.monomial(ce, recipe['right'], 9) + pre = right.adjoint(); post = left.adjoint() + pre_recipe = lower_exact(p, ce, pre); post_recipe = lower_exact(p, ce, post) + need(pre_recipe['rank'] == post_recipe['rank'] == 0, 'Free boundary wrappers') + wrapped = pre.then(op).then(post); target = ce.fourier(9, range(rank)) + need(wrapped.tab == target.tab and wrapped.zero_state() == target.zero_state(), 'Helper boundary is exact standard Fourier including phase') + return dict(rank=rank, factorization=recipe, outer_pre_monomial=pre_recipe['left'], + outer_post_monomial=post_recipe['left'], exact_tableau_and_global_phase=True) + + +def helper_normal_forms(p, ce, canonical, cache=None): + """Certify every helper, with explicit inherited and fresh outer wrappers. + + Bare residual is F_end F_start^-1. The retained residual_adapter convention + already maps it to C_width in forward, and conjugate(C_width) in backward. + New outer normalizers below act at the WHOLE invocation boundaries. They + require no change to internal frames, helper reads, or scalar event order. + """ + cache = {} if cache is None else cache + rows = []; widths = Counter() + for role in range(224, 632): + start, end = canonical['start'][role], canonical['final'][role] + A, B = canonical['frames'][start], canonical['frames'][end] + rank = len(B)-len(A) + need(0 < rank <= 9, 'Positive productive helper width') + key = (tuple(A), tuple(B)) + if key not in cache: + physical = ce.canonical_frame(9, A).adjoint().then(ce.canonical_frame(9, B)) + inherited = lower_exact(p, ce, physical) + need(inherited['rank'] == rank, 'Native helper residual rank') + lm = p.monomial(ce, inherited['left'], 9) + rm = p.monomial(ce, inherited['right'], 9) + directions = {} + for backward in (False, True): + name = 'backward' if backward else 'forward' + op = p.conjugate(ce, physical) if backward else physical + l = p.conjugate(ce, lm) if backward else lm + r = p.conjugate(ce, rm) if backward else rm + native = r.adjoint().then(op).then(l.adjoint()) + target = ce.fourier(9, range(rank)) + if backward: + target = p.conjugate(ce, target) + need(native.tab == target.tab and native.zero_state() == target.zero_state(), 'Inherited oriented native helper boundary') + directions[name] = dict(bare_residual_normal_form=normal_form(p, ce, op, rank), + inherited_native_target='conjugate(C_width)' if backward else 'C_width', + existing_native_boundary_normal_form=normal_form(p, ce, native, rank)) + cache[key] = dict(start_basis=A, end_basis=B, inherited_forward_factorization=inherited, directions=directions) + rows.append(dict(role=role, start_frame=start, end_frame=end, width=rank, certificate=cache[key])) + widths[rank] += 1 + expected = {5: 28, 6: 18, 7: 56, 8: 93, 9: 213} if widths[7] == 56 else {5: 28, 6: 18, 7: 57, 8: 92, 9: 213} + need(dict(widths) == expected, 'Exact all-helper productive width profile') + return dict(status='PASS_ALL_408_HELPERS_BOTH_ORIENTATIONS_WITH_ABSOLUTE_PHASE', + count=len(rows), widths=dict(sorted(widths.items())), total_width=sum(k*x for k, x in widths.items()), + recipes=rows, unique_frame_pairs=len({(r['start_frame'], r['end_frame']) for r in rows}), + scope='Native ideal helper block and free boundary adapters only; productive outer ownership and full recursive bill are separate obligations.') + + +def h_child_recipes(p, ce, canonical, words): + result = {} + for direction, program in words.items(): + rows = [] + for i, e in enumerate(program): + if e[0] != 'center': + continue + _, role, old, new, rank = e + # These corrections occur OUTSIDE the inherited data adapters. + # The physical endpoint references are the original port gates, + # not the monomial-equivalent canonical representatives. Using a + # bare canonical_frame here would leave an uncharged/missing phase + # adapter on the scalar contact despite a correct logical replay. + k = len(rows); port_index = SELECTED[k]; q = canonical['ports'][port_index] + if direction == 'forward': + source = ce.fourier(9) + target = ce.cgate(9, q).adjoint().then(ce.fourier(9)) + else: + source = ce.ident(9) + target = p.conjugate(ce, ce.cgate(9, q)) + op = source.adjoint().then(target) + recipe = lower_exact(p, ce, op) + need(recipe['rank'] == rank == 1, 'Completion child rank one') + direct = ce.cgate(9, q).adjoint() + need(op.tab == direct.tab and op.zero_state() == direct.zero_state(), 'External completion is exact inverse port gate') + rows.append(dict(event=i, selected_port=port_index, port_vector=q, + source_frame=old, target_frame=new, recipe=recipe, + physical_reference='original external endpoint gauge; inherited adapters already outside the contact', + exact_inverse_port_gate_including_phase=True)) + need(len(rows) == 8, 'Exactly eight completion children') + result[direction] = rows + return result + + +def main(): + ap = argparse.ArgumentParser(description=__doc__) + ap.add_argument('--out', type=Path, default=HERE/'fresh-certificates') + ap.add_argument('--stage', choices=('helpers', 'H', 'logger', 'all'), default='all') + ap.add_argument('--tags', nargs='+', choices=TAGS, default=list(TAGS)) + args = ap.parse_args(); args.out.mkdir(parents=True, exist_ok=True) + p, v, ce, receipt, inherited = authenticated() + geo = geometry(v.PACKET) + run = dict(schema='fresh-native-H112-reconstruction/1', reconstructed_after_loss=True, + source_sha256=digest(Path(__file__)), predecessor_receipt_sha256=RECEIPT_SHA, + predecessor_generator_sha256=P_SHA, independent_interpreter_sha256=p.CHECKER_SHA, + clifford_compiler_sha256=CE_SHA, packet_sha256=digest(v.PACKET), + geometry=dict(selected=list(SELECTED), ordinary_count=104, L_nonzeros=416, H_squared_identity=True, + H_not_symmetric=True, divisions_by_odd_numbers=0), + environment=dict(python=sys.version, platform=platform.platform()), + no_new_kappa_claimed=True, providers={}) + phase_cache = {} + for tag in args.tags: + started = time.monotonic() + c = read(BASE/(tag+'-CANONICAL.json.gz')); word = read(BASE/(tag+'-NATIVE-WORD.json.gz')) + row = dict(predecessor_artifacts=receipt['providers'][tag]['artifacts']) + if args.stage in ('helpers', 'all'): + helpers = helper_normal_forms(p, ce, c, phase_cache) + path = args.out/(tag+'-HELPER-BOUNDARIES.json.gz') + row['helper_boundaries'] = dict(artifact=path.name, sha256=save(path, helpers), widths=helpers['widths'], + total_width=helpers['total_width'], count=408) + print('PASS helpers', tag, helpers['widths'], flush=True) + if args.stage in ('H', 'all'): + hw = make_h_word(c, word, geo); expected_profile = Counter({int(k): x for k, x in c['local_profile'].items()}); expected_profile[1] += 8 + checks = {d: replay_extended(v, hw[d], c, geo, d == 'backward', expected_profile=expected_profile) for d in ('forward', 'backward')} + phases = h_child_recipes(p, ce, c, hw) + baseline_scalar = receipt['providers'][tag]['checks']['forward']['independent_literal_replay']['conservative_real_scalar_primitive_allowance'] + need(all(check['real_scalar_allowance']-baseline_scalar == 4336 for check in checks.values()), 'Exact 4336 scalar increment') + broken = deepcopy(hw['forward']) + omitted = next(i for i, e in enumerate(broken) if e[0] == 'scalar' and e[1][:2] == ['add', ['L', 112+SELECTED[0]]] and e[1][2] == ['C', 0]) + broken.pop(omitted) + negative = replay_extended(v, broken, c, geo, allow_mismatch=True) + need(not negative['exact_endpoint'], 'Missing completion negative control rejected') + path = args.out/(tag+'-H112-NATIVE.json.gz') + row['H112'] = dict(artifact=path.name, sha256=save(path, hw), checks=checks, new_child_recipes=phases, + increment=dict(profile={'1': 8}, real_scalar_allowance=4336, owned_C_fields=1, persistent_fields=0), + omitted_completion_negative_control=negative['mismatch_examples']) + print('PASS H112', tag, '8 H1 + 4336; both directions', flush=True) + if args.stage in ('logger', 'all'): + lw = make_logger_word(c, word, geo) + profile = Counter({int(k): x for k, x in c['local_profile'].items()}); profile[9] += 8 + check = replay_extended(v, lw, c, geo, endpoint='logger', cache_count=8, expected_profile=profile) + baseline_scalar = receipt['providers'][tag]['checks']['forward']['independent_literal_replay']['conservative_real_scalar_primitive_allowance'] + need(check['real_scalar_allowance']-baseline_scalar == 4224, 'Exact 4224 scalar logger increment') + op = ce.canonical_frame(9, c['frames'][0]).adjoint().then(ce.canonical_frame(9, c['frames'][1])) + recipe = lower_exact(p, ce, op); need(recipe['rank'] == 9, 'Logger paid rank nine') + path = args.out/(tag+'-FORWARD-LOGGER.json.gz') + row['logger'] = dict(artifact=path.name, sha256=save(path, lw), check=check, cache_child_recipe=recipe, + increment=dict(profile={'9': 8}, real_scalar_allowance=4224, owned_C_fields=0, arbitrary_cache_fields=8), + cache_restored=False, productive_cache_credit_claimed=False) + print('PASS logger', tag, '8 H9 + 4224', flush=True) + row['seconds'] = time.monotonic()-started + run['providers'][tag] = row + save(args.out/('RESULT-'+args.stage+'.json'), run) + run['status'] = 'PASS_FRESH_RECONSTRUCTION_REQUESTED_STAGES' + save(args.out/('RESULT-'+args.stage+'.json'), run) + + +if __name__ == '__main__': + main() diff --git a/research/native-dual-suppliers/v/research/missing-join-frame/PATCH.json b/research/native-dual-suppliers/v/research/missing-join-frame/PATCH.json new file mode 100644 index 0000000000..f96d295d40 --- /dev/null +++ b/research/native-dual-suppliers/v/research/missing-join-frame/PATCH.json @@ -0,0 +1,24 @@ +{ + "phase": "B", + "ordinal": 480, + "old_frame": 732, + "new_basis": [ + 168, + 336, + 45 + ], + "old_basis": [ + 258, + 133, + 82, + 45 + ], + "incoming_frames": [ + 364, + 360 + ], + "outgoing_frames": [ + 736, + 692 + ] +} diff --git a/research/native-dual-suppliers/v/research/t74-native-fast/vendor/native/new/code/borrow/vendor/clifford/clifford_exact.py b/research/native-dual-suppliers/v/research/t74-native-fast/vendor/native/new/code/borrow/vendor/clifford/clifford_exact.py new file mode 100644 index 0000000000..166841a037 --- /dev/null +++ b/research/native-dual-suppliers/v/research/t74-native-fast/vendor/native/new/code/borrow/vendor/clifford/clifford_exact.py @@ -0,0 +1,149 @@ +"""Small exact Gaussian-dyadic Clifford compiler, independent of gx internals. +Paulis use i^p X^x Z^z. State vectors use integer Gaussian numerators / 2^d. +The tableau is supplemented by a literal circuit, so global phases are kept. +""" +from dataclasses import dataclass + +def parity(x):return x.bit_count()&1 +def rank(rows): + p={} + for x in rows: + while x: + b=x.bit_length()-1 + if b not in p:p[b]=x;break + x^=p[b] + return len(p) +def transpose(rows,n):return tuple(sum(((rows[j]>>i)&1)<>j&1);a[j],a[k]=a[k],a[j] + for i in range(n): + if i!=j and a[i]>>j&1:a[i]^=a[j] + assert [r&((1<>n for r in a) +def basis_extend(cols,n): + out=[] + for x in list(cols)+[1<len(out):out.append(x) + assert len(out)==n + return tuple(out) +def nullspace(rows,n): + a=list(rows);p=[];k=0 + for j in range(n): + t=next((i for i in range(k,len(a)) if a[i]>>j&1),None) + if t is None:continue + a[t],a[k]=a[k],a[t] + for i in range(len(a)): + if i!=k and a[i]>>j&1:a[i]^=a[k] + p.append(j);k+=1 + return tuple((1<>j)&1)<>i&1:out=pmul(out,T[i]) + for i in range(n): + if z>>i&1:out=pmul(out,T[n+i]) + return out +def compose(A,B):return tuple(apply(A,p) for p in B) +def inverse(T): + n=len(T)//2;cols=[x|(z<>n;u,v,p=apply(T,(x,z,0));assert (u,v)==identity(n)[j][:2];out.append((x,z,(-p)%4)) + return tuple(out) +def qvalue(Q,alpha,x,n): + return (sum(alpha[i] for i in range(n) if x>>i&1)+2*sum(parity((Q[i]>>(i+1))&(x>>(i+1))) for i in range(n) if x>>i&1))%4 +def mul_i(a,p): + x,y=a;p%=4 + return [(x,y),(-y,x),(-x,-y),(y,-x)][p] +@dataclass +class Op: + n:int + tab:tuple + circuit:list + def then(self,b): + assert self.n==b.n + return Op(self.n,compose(b.tab,self.tab),self.circuit+b.circuit) + def adjoint(self): + circ=[] + for e in reversed(self.circuit): + if e[0]=='P':circ.append(('P',inv(e[1],self.n))) + elif e[0]=='D':circ.append(('D',e[1],tuple((-x)%4 for x in e[2]))) + elif e[0]=='C':circ.append(('C',e[1],-e[2])) + elif e[0]=='phase':circ.append(('phase',(-e[1])%4)) + else:circ.append(e) + return Op(self.n,inverse(self.tab),circ) + def zero_state(self,basis=0): + N=1<>i)&1 for i in range(n)) + assert all(alpha[i]%2==(Q[i]>>i)&1 for i in range(n)) + return Op(n,tuple([(1<>i&1 else 0,1<>i&1 else 0) for i in range(n)]),[('C',q,sgn)]) +def xgate(n,b):return Op(n,tuple([(1<>i)&1)) for i in range(n)]),[('X',b)]) +def fourier(n,axes=None): + out=ident(n) + for i in range(n) if axes is None else axes:out=out.then(cgate(n,1<len(selected):picks.append(j);selected.append(x) + assert len(picks)==r and all(x>>r==0 for x in Bcols) + Br=transpose(selected,r);Bi=inv(Br,r);Dr=transpose([Dcols[j]&((1<